Repository: sandialabs/pvOps (language: python)

Issue:
Addressing issue 51
This PR addresses #51 by adding a simplified version of the module overview table from the JOSS manuscript to the homepage of the documentation.


Discussion / hints:

Fix patch:
diff --git a/.github/workflows/builddocs.yml b/.github/workflows/builddocs.yml
index 2fc3091..77202e9 100644
--- a/.github/workflows/builddocs.yml
+++ b/.github/workflows/builddocs.yml
@@ -28,8 +28,8 @@ jobs:
         run: sudo apt-get update -y && sudo apt-get install -y pandoc
       - uses: actions/setup-python@v2
         with: 
-          python-version: '3.8' 
-      - name: Setup Python 3.8
+          python-version: '3.11' 
+      - name: Setup Python 3.11
         run: |
           python -m pip install --upgrade pip
           python -m pip install -r requirements.txt
@@ -42,4 +42,4 @@ jobs:
       - uses: actions/upload-artifact@v3
         with:
           name: html-docs
-          path: docs/_build/html
\ No newline at end of file
+          path: docs/_build/html
diff --git a/.gitignore b/.gitignore
index 57dc97f..dfe5a3f 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,3 +1,164 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+
 __pycache__/
 pvops/text/__pycache__/
 pvops/text2time/__pycache__/
@@ -6,7 +167,7 @@ docs/_build/
 .pytest_cache/
 *.py[cod]
 examples/analysis/
-examples/.ipynb_checkpoints/
+*.ipynb_checkpoints/
 *~
 pvops/.vscode/*
 pvops/text2time/.vscode
diff --git a/.readthedocs.yml b/.readthedocs.yml
index 8e90405..58ef933 100644
--- a/.readthedocs.yml
+++ b/.readthedocs.yml
@@ -1,13 +1,18 @@
 version: 2
 
+build:
+  os: ubuntu-22.04
+  tools:
+    python: "3.11"
+
 sphinx:
   configuration: docs/conf.py
 
 formats: all
 
 python:
-  version: 3.7
   install:
     - method: pip
       path: .
-    - requirements: docs/requirements.txt
+      extra_requirements:
+        - doc
diff --git a/citation.CIF b/CITATION.cff
similarity index 97%
rename from citation.CIF
rename to CITATION.cff
index 2fd103a..a3ad77a 100644
--- a/citation.CIF
+++ b/CITATION.cff
@@ -11,7 +11,7 @@ authors:
     given-names: Hector
     orcid: https://orcid.org/1234
 title: "pvOps: Improving Operational Assessments through Data Fusion"
-version: 0.1.6
+version: 0.2.0
 doi: 10.5281/zenodo.4776181
 date-released: 2021-05-26
 keywords:
diff --git a/MANIFEST.in b/MANIFEST.in
deleted file mode 100644
index 791c05d..0000000
--- a/MANIFEST.in
+++ /dev/null
@@ -1,4 +0,0 @@
-prune .github
-exclude .gitignore
-exclude .readthedocs.yml
-exclude .travis.yml
diff --git a/NOTICE/datefinder_LICENSE b/NOTICE/datefinder_LICENSE
deleted file mode 100644
index 105a6ac..0000000
--- a/NOTICE/datefinder_LICENSE
+++ /dev/null
@@ -1,21 +0,0 @@
-The MIT License (MIT)
-
-Copyright (c) 2015 Alec Koumjian
-
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in all
-copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.
\ No newline at end of file
diff --git a/NOTICE/gensim_LICENSE b/NOTICE/gensim_LICENSE
deleted file mode 100644
index dc6c92d..0000000
--- a/NOTICE/gensim_LICENSE
+++ /dev/null
@@ -1,502 +0,0 @@
-                  GNU LESSER GENERAL PUBLIC LICENSE
-                       Version 2.1, February 1999
-
- Copyright (C) 1991, 1999 Free Software Foundation, Inc.
- 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301  USA
- Everyone is permitted to copy and distribute verbatim copies
- of this license document, but changing it is not allowed.
-
-[This is the first released version of the Lesser GPL.  It also counts
- as the successor of the GNU Library Public License, version 2, hence
- the version number 2.1.]
-
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-freedom to share and change it.  By contrast, the GNU General Public
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-specially designated software packages--typically libraries--of the
-Free Software Foundation and other authors who decide to use it.  You
-can use it too, but we suggest you first think carefully about whether
-this license or the ordinary General Public License is the better
-strategy to use in any particular case, based on the explanations below.
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-not price.  Our General Public Licenses are designed to make sure that
-you have the freedom to distribute copies of free software (and charge
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-    This library is distributed in the hope that it will be useful,
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-  <signature of Ty Coon>, 1 April 1990
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-That's all there is to it!
\ No newline at end of file
diff --git a/NOTICE/keras_LICENSE b/NOTICE/keras_LICENSE
deleted file mode 100644
index 67b63ef..0000000
--- a/NOTICE/keras_LICENSE
+++ /dev/null
@@ -1,13 +0,0 @@
-Copyright 2015 The TensorFlow Authors.  All rights reserved.
-
-Licensed under the Apache License, Version 2.0 (the "License");
-you may not use this file except in compliance with the License.
-You may obtain a copy of the License at
-
-    http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
\ No newline at end of file
diff --git a/NOTICE/matplotlib_LICENSE b/NOTICE/matplotlib_LICENSE
deleted file mode 100644
index 17e97f4..0000000
--- a/NOTICE/matplotlib_LICENSE
+++ /dev/null
@@ -1,15 +0,0 @@
-1. This LICENSE AGREEMENT is between the Matplotlib Development Team ("MDT"), and the Individual or Organization ("Licensee") accessing and otherwise using matplotlib software in source or binary form and its associated documentation.
-
-2. Subject to the terms and conditions of this License Agreement, MDT hereby grants Licensee a nonexclusive, royalty-free, world-wide license to reproduce, analyze, test, perform and/or display publicly, prepare derivative works, distribute, and otherwise use matplotlib 3.3.4 alone or in any derivative version, provided, however, that MDT's License Agreement and MDT's notice of copyright, i.e., "Copyright (c) 2012-2013 Matplotlib Development Team; All Rights Reserved" are retained in matplotlib 3.3.4 alone or in any derivative version prepared by Licensee.
-
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-4. MDT is making matplotlib 3.3.4 available to Licensee on an "AS IS" basis. MDT MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, MDT MAKES NO AND DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF MATPLOTLIB 3.3.4 WILL NOT INFRINGE ANY THIRD PARTY RIGHTS.
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-
-8. By copying, installing or otherwise using matplotlib 3.3.4, Licensee agrees to be bound by the terms and conditions of this License Agreement.
\ No newline at end of file
diff --git a/NOTICE/networkxx_LICENSE b/NOTICE/networkxx_LICENSE
deleted file mode 100644
index 2f5fafa..0000000
--- a/NOTICE/networkxx_LICENSE
+++ /dev/null
@@ -1,40 +0,0 @@
-License
-=======
-
-NetworkX is distributed with the 3-clause BSD license.
-
-::
-
-   Copyright (C) 2004-2021, NetworkX Developers
-   Aric Hagberg <hagberg@lanl.gov>
-   Dan Schult <dschult@colgate.edu>
-   Pieter Swart <swart@lanl.gov>
-   All rights reserved.
-
-   Redistribution and use in source and binary forms, with or without
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-     * Redistributions of source code must retain the above copyright
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-       copyright notice, this list of conditions and the following
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-     * Neither the name of the NetworkX Developers nor the names of its
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-
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-   (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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\ No newline at end of file
diff --git a/NOTICE/nltk_LICENSE b/NOTICE/nltk_LICENSE
deleted file mode 100644
index 15c3b66..0000000
--- a/NOTICE/nltk_LICENSE
+++ /dev/null
@@ -1,7 +0,0 @@
-Copyright (C) 2001-2020 NLTK Project.  
-All rights reserved.  
-
-Licensed under the Apache License, Version 2.0, you may not use this file except in compliance with the Apache License.  
-You may obtain a copy of the Apache License at http://www.apache.org/licenses/LICENSE-2.0.  
-Unless required by applicable law or agreed to in writing, software distributed under the Apache License is distributed on an “AS IS” BASIS, WITHOUT WARRENTIES OR CONDITIONS OF ANY KIND, either express or implied.  
-See the Apache License for the specific language governing permissions and limitations under the Apache License.
\ No newline at end of file
diff --git a/NOTICE/numpy_LICENSE b/NOTICE/numpy_LICENSE
deleted file mode 100644
index 6eddd9a..0000000
--- a/NOTICE/numpy_LICENSE
+++ /dev/null
@@ -1,30 +0,0 @@
-Copyright (c) 2005-2020, NumPy Developers.
-All rights reserved.
-
-Redistribution and use in source and binary forms, with or without
-modification, are permitted provided that the following conditions are
-met:
-
-    * Redistributions of source code must retain the above copyright
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-    * Redistributions in binary form must reproduce the above
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-    * Neither the name of the NumPy Developers nor the names of any
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-THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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-THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
-(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
-OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
\ No newline at end of file
diff --git a/NOTICE/pandas_LICENSE b/NOTICE/pandas_LICENSE
deleted file mode 100644
index 1ae66b6..0000000
--- a/NOTICE/pandas_LICENSE
+++ /dev/null
@@ -1,31 +0,0 @@
-BSD 3-Clause License
-
-Copyright (c) 2008-2011, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
-All rights reserved.
-
-Copyright (c) 2011-2020, Open source contributors.
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-* Redistributions of source code must retain the above copyright notice, this
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\ No newline at end of file
diff --git a/NOTICE/plotly_LICENSE b/NOTICE/plotly_LICENSE
deleted file mode 100644
index 7c4c5eb..0000000
--- a/NOTICE/plotly_LICENSE
+++ /dev/null
@@ -1,21 +0,0 @@
-The MIT License (MIT)
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-Copyright (c) 2016-2018 Plotly, Inc
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-Permission is hereby granted, free of charge, to any person obtaining a copy
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\ No newline at end of file
diff --git a/NOTICE/pvanalytics_LICENSE b/NOTICE/pvanalytics_LICENSE
deleted file mode 100644
index 14a4d9d..0000000
--- a/NOTICE/pvanalytics_LICENSE
+++ /dev/null
@@ -1,21 +0,0 @@
-MIT License
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\ No newline at end of file
diff --git a/NOTICE/pvlib_LICENSE b/NOTICE/pvlib_LICENSE
deleted file mode 100644
index 1cf21ca..0000000
--- a/NOTICE/pvlib_LICENSE
+++ /dev/null
@@ -1,29 +0,0 @@
-BSD 3-Clause License
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-All rights reserved.
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-(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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\ No newline at end of file
diff --git a/NOTICE/pyDOE_LICENSE b/NOTICE/pyDOE_LICENSE
deleted file mode 100644
index 6c65304..0000000
--- a/NOTICE/pyDOE_LICENSE
+++ /dev/null
@@ -1,12 +0,0 @@
-Copyright (c) 2014, Abraham D. Lee
-All rights reserved.
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-Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
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-1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
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-3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
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\ No newline at end of file
diff --git a/NOTICE/scikit-learn_LICENSE b/NOTICE/scikit-learn_LICENSE
deleted file mode 100644
index f4b2b8a..0000000
--- a/NOTICE/scikit-learn_LICENSE
+++ /dev/null
@@ -1,29 +0,0 @@
-BSD 3-Clause License
-
-Copyright (c) 2007-2020 The scikit-learn developers.
-All rights reserved.
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-Redistribution and use in source and binary forms, with or without
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-* Redistributions of source code must retain the above copyright notice, this
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-CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
-OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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\ No newline at end of file
diff --git a/NOTICE/scipy_LICENSE b/NOTICE/scipy_LICENSE
deleted file mode 100644
index 03718db..0000000
--- a/NOTICE/scipy_LICENSE
+++ /dev/null
@@ -1,30 +0,0 @@
-Copyright (c) 2001-2002 Enthought, Inc.  2003-2019, SciPy Developers.
-All rights reserved.
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-Redistribution and use in source and binary forms, with or without
-modification, are permitted provided that the following conditions
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-1. Redistributions of source code must retain the above copyright
-   notice, this list of conditions and the following disclaimer.
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-2. Redistributions in binary form must reproduce the above
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-   disclaimer in the documentation and/or other materials provided
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-3. Neither the name of the copyright holder nor the names of its
-   contributors may be used to endorse or promote products derived
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-THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
-"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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-DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
-THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
-(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
-OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
\ No newline at end of file
diff --git a/NOTICE/seaborn_LICENSE b/NOTICE/seaborn_LICENSE
deleted file mode 100644
index 8582e9b..0000000
--- a/NOTICE/seaborn_LICENSE
+++ /dev/null
@@ -1,27 +0,0 @@
-Copyright (c) 2012-2021, Michael L. Waskom
-All rights reserved.
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-Redistribution and use in source and binary forms, with or without
-modification, are permitted provided that the following conditions are met:
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-* Redistributions of source code must retain the above copyright notice, this
-  list of conditions and the following disclaimer.
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-* Redistributions in binary form must reproduce the above copyright notice,
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-* Neither the name of the project nor the names of its
-  contributors may be used to endorse or promote products derived from
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-THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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-DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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-CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
-OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
-OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
\ No newline at end of file
diff --git a/NOTICE/statsmodels_LICENSE b/NOTICE/statsmodels_LICENSE
deleted file mode 100644
index 1d8094f..0000000
--- a/NOTICE/statsmodels_LICENSE
+++ /dev/null
@@ -1,34 +0,0 @@
-Copyright (C) 2006, Jonathan E. Taylor
-All rights reserved.
-
-Copyright (c) 2006-2008 Scipy Developers.
-All rights reserved.
-
-Copyright (c) 2009-2018 statsmodels Developers.
-All rights reserved.
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-Redistribution and use in source and binary forms, with or without
-modification, are permitted provided that the following conditions are met:
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-  a. Redistributions of source code must retain the above copyright notice,
-     this list of conditions and the following disclaimer.
-  b. Redistributions in binary form must reproduce the above copyright
-     notice, this list of conditions and the following disclaimer in the
-     documentation and/or other materials provided with the distribution.
-  c. Neither the name of statsmodels nor the names of its contributors
-     may be used to endorse or promote products derived from this software
-     without specific prior written permission.
-
-
-THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
-AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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-DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
-SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
-CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
-LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
-OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH
-DAMAGE.
\ No newline at end of file
diff --git a/NOTICE/tensorflow_LICENSE b/NOTICE/tensorflow_LICENSE
deleted file mode 100644
index dbbb273..0000000
--- a/NOTICE/tensorflow_LICENSE
+++ /dev/null
@@ -1,284 +0,0 @@
-                                 Apache License
-                           Version 2.0, January 2004
-                        http://www.apache.org/licenses/
-
-   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
-
-   1. Definitions.
-
-      "License" shall mean the terms and conditions for use, reproduction,
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-      "Licensor" shall mean the copyright owner or entity authorized by
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\ No newline at end of file
diff --git a/NOTICE/timezonefinder_LICENSE b/NOTICE/timezonefinder_LICENSE
deleted file mode 100644
index a47d812..0000000
--- a/NOTICE/timezonefinder_LICENSE
+++ /dev/null
@@ -1,21 +0,0 @@
-The MIT License (MIT)
-
-Copyright (c) 2016 MrMinimal64
-
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in all
-copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.
\ No newline at end of file
diff --git a/README.md b/README.md
index 04530fa..cbe2a6d 100644
--- a/README.md
+++ b/README.md
@@ -4,6 +4,7 @@
 [![License](https://img.shields.io/pypi/l/pvOps?color=green)](https://github.com/sandialabs/pvOps/blob/master/LICENSE)
 [![ActionStatus](https://github.com/sandialabs/pvOps/workflows/lint%20and%20test/badge.svg)](https://github.com/sandialabs/pvOps/actions)
 [![DOI](https://zenodo.org/badge/289032705.svg)](https://zenodo.org/badge/latestdoi/289032705)
+[![status](https://joss.theoj.org/papers/6c3554c98b1771125613cff94241847c/status.svg)](https://joss.theoj.org/papers/6c3554c98b1771125613cff94241847c)
 
 pvops contains a series of functions to facilitate fusion of text-based data with time series production data collected at photovoltaic sites. The package also contains example datasets and tutorials to help demonstrate how the functions can be used.
 
@@ -15,11 +16,11 @@ pvops can be installed using `pip`. See more information at [readthedocs](https:
 Package Layout and Documentation
 ==============
 
-The package is delineated into the following directories. Refer to the `examples` directory for a full run-through of the available functionality.
+The package is delineated into the following directories. Refer to the `tutorials` directory for a full run-through of the available functionality.
 ```
 ├───docs                : Documentation directory
 |
-├───examples            : Functionality examples directory
+├───tutorials           : Contains tutorials of functionality
 │   └─── example_data   : └─── Example data
 |
 └───pvops               : Source function library
diff --git a/docker/bc.pem b/docker/bc.pem
deleted file mode 100644
index ba62a63..0000000
--- a/docker/bc.pem
+++ /dev/null
@@ -1,43 +0,0 @@
------BEGIN CERTIFICATE-----
-MIIHljCCBX6gAwIBAgIJANTMjRbVASgjMA0GCSqGSIb3DQEBBQUAMIHhMQswCQYD
-VQQGEwJVUzETMBEGA1UECBMKTmV3IE1leGljbzEUMBIGA1UEBxMLQWxidXF1ZXJx
-dWUxJTAjBgNVBAoTHFNhbmRpYSBOYXRpb25hbCBMYWJvcmF0b3JpZXMxKjAoBgNV
-BAsTIUluZnJhc3RydWN0dXJlIENvbXB1dGluZyBTZXJ2aWNlczEmMCQGA1UEAxMd
-aHR0cHMtaW50ZXJjZXB0aW9uLnNhbmRpYS5nb3YxLDAqBgkqhkiG9w0BCQEWHXBy
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-MDEzMTE5NTc1MFowgeExCzAJBgNVBAYTAlVTMRMwEQYDVQQIEwpOZXcgTWV4aWNv
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-IExhYm9yYXRvcmllczEqMCgGA1UECxMhSW5mcmFzdHJ1Y3R1cmUgQ29tcHV0aW5n
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-Mccs7bL+P67TY9BuJfzZZgAnp4Dglk22tDvLCOTPtOrR1MDI9YJW8IRfu5wQal+I
-W1zSkI2qHno2/NqQknzXbveV5te0jkK2KX41lNZTx2L3MW9cN3e7n9FAoyp6a2Eb
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-zNHtoYHnpIHkMIHhMQswCQYDVQQGEwJVUzETMBEGA1UECBMKTmV3IE1leGljbzEU
-MBIGA1UEBxMLQWxidXF1ZXJxdWUxJTAjBgNVBAoTHFNhbmRpYSBOYXRpb25hbCBM
-YWJvcmF0b3JpZXMxKjAoBgNVBAsTIUluZnJhc3RydWN0dXJlIENvbXB1dGluZyBT
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-rWGTRcvsRa4RWomj1NXyI6eHVof4UeHwAns89tDuh+CWANKZowEGzJTeDutvvonG
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-Md2TndJHaqP0l0VubZsTKcbwXP/jH4CNzuerPNKU1zOrFPor+6iSgXQy6wk/jtn3
-/zQqr2atMvSAXydLde4U/d/Do72Nihs59wI=
------END CERTIFICATE-----
diff --git a/docker/dockerfile b/docker/dockerfile
deleted file mode 100644
index acbbd95..0000000
--- a/docker/dockerfile
+++ /dev/null
@@ -1,24 +0,0 @@
-FROM nexus.web.sandia.gov:8083/continuumio/miniconda3
-LABEL authors="Adrian Perez <jespere@sandia.gov>"
-
-# https://wp.sandia.gov/proxy-services/
-ENV DEBIAN_FRONTEND="noninteractive" \
-    http_proxy="http://proxy.sandia.gov:80" \
-    https_proxy="http://proxy.sandia.gov:80" \
-    no_proxy="localhost,localnets,sandia.gov,127.0.0.1" \
-    # configure py pip to use Nexus
-    PIP_INDEX_URL=https://nexus.web.sandia.gov/repository/pypi-proxy/simple
-
-
-RUN mkdir -p /usr/local/share/ca-certificates
-ADD bc.pem /usr/local/share/ca-certificates/https-interception.sandia.gov.crt
-
-RUN apt-get update && \
-    apt-get install apt-utils ca-certificates curl git -y \
-    --no-install-recommends && \
-    update-ca-certificates && \
-    apt-get autoclean && \
-    apt-get --purge -y autoremove && \
-    rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
-
-CMD ["/bin/bash"]
diff --git a/docs/conf.py b/docs/conf.py
index d1c621a..40474db 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -12,17 +12,17 @@
 #
 import os
 import sys
+from pvops import __version__
 
 sys.path.insert(0, os.path.abspath("../"))
 
 # -- Project information -----------------------------------------------------
 
-project = "pvops"
-copyright = "2021, Thushara Gunda"
-author = "Thushara Gunda"
-
-# The full version, including alpha/beta/rc tags
-release = "0.1"
+project = u"pvops"
+copyright = u"2021 National Technology & Engineering Solutions of Sandia, LLC (NTESS)"
+author = u"pvOps Developers"
+version = __version__
+release = __version__
 
 
 # -- General configuration ---------------------------------------------------
@@ -30,6 +30,9 @@
 # Add any Sphinx extension module names here, as strings. They can be
 # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
 # ones.
+
+language = 'en'
+
 extensions = [
     "sphinx.ext.autodoc",
     # pull in documentation from docstrings in a semi-automatic way.
diff --git a/docs/index.rst b/docs/index.rst
index c97e667..e55a93b 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -6,33 +6,73 @@
 Overview
 ============
 pvops is a python package for PV operators & researchers. 
-It consists a set of documented functions for supporting operations 
-research of photovoltaic energy systems.
+It consists of a set of documented functions for supporting operations 
+research of photovoltaic (PV) energy systems.
 The library leverages advances in machine learning, natural
 language processing and visualization 
 tools to extract and visualize actionable information from common 
 PV data including Operations & Maintenance (O&M) text data, timeseries 
 production data, and current-voltage (IV) curves.
 
+.. list-table:: Module Overview
+   :widths: 25 25 50
+   :header-rows: 1
+
+   * - Module
+     - Type of data
+     - Highlights of functions
+   * - text
+     - O&M records
+     - - fill data gaps in dates and categorical records
+       - visualize word clusters and patterns over time
+   * - timeseries
+     - Production data
+     - - estimate expected energy with multiple models
+       - evaluate inverter clipping
+   * - text2time 
+     - O&M records and production data 
+     - - analyze overlaps between O&M and production (timeseries) records
+       - visualize overlaps between O&M records and production data
+   * - iv
+     - IV records 
+     - - simulate IV curves with physical faults
+       - extract diode parameters from IV curves 
+       - classify faults using IV curves
+
+Statement of Need
+=================
+
+Continued interest in PV deployment across the world has resulted in increased awareness of needs associated 
+with managing reliability and performance of these systems during operation. Current open-source packages for 
+PV analysis focus on theoretical evaluations of solar power simulations (e.g., `pvlib`; :cite:p:`holmgren2018pvlib`), 
+specific use cases of empirical evaluations (e.g., `RdTools`; :cite:p:`deceglie2018rdtools` and `Pecos`; :cite:p:`klise2016performance`
+for degradation analysis), or analysis of electroluminescene images (e.g., `PVimage`; :cite:p:`pierce2020identifying`). However, 
+a general package that can support data-driven, exploratory evaluations of diverse field collected information is currently lacking. 
+To address this gap, we present `pvOps`, an open-source, Python package that can be used by  researchers and industry 
+analysts alike to evaluate different types of data routinely collected during PV field operations. 
+
+PV data collected in the field varies greatly in structure (i.e., timeseries and text records) and quality 
+(i.e., completeness and consistency). The data available for analysis is frequently semi-structured. 
+Furthermore, the level of detail collected between different owners/operators might vary. 
+For example, some may capture a general start and end time for an associated event whereas others might include 
+additional time details for different resolution activities. This diversity in data types and structures often 
+leads to data being under-utilized due to the amount of manual processing required. To address these issues, 
+`pvOps` provides a suite of data processing, cleaning, and visualization methods to leverage insights across a 
+broad range of data types, including operations and maintenance records,  production timeseries, and IV curves. 
+The functions within `pvOps` enable users to better parse available data to understand patterns in outages and production losses. 
+
+    
 .. toctree::
     :maxdepth: 1
     :caption: Available resources:
     
     Overview <self>
-    pages/installation
     pages/userguide
-    pages/examples
+    pages/tutorials
     pages/modules
-    pages/references
-    pages/abbreviations
     pages/development
     pages/contributing
     pages/releasenotes
+    pages/references
 
 
-Indices and tables
--------------------
-
-* :ref:`genindex`
-* :ref:`modindex`
-* :ref:`search`
diff --git a/docs/pages/abbreviations.rst b/docs/pages/abbreviations.rst
index 9bc59d9..694790e 100644
--- a/docs/pages/abbreviations.rst
+++ b/docs/pages/abbreviations.rst
@@ -1,20 +1,17 @@
-Abbreviations
+Abbreviations/Terminology
 ====================================
-* AIT:
+* AIT: Additive Interaction Model described in :cite:p:`app12041872`
 * CEC: California Energy Commission
 * WS: wind speed
-* Varr
-* prod_irradiance_filter
-* popular
-* T
-* Rsh_mult
-* Rs_mult
-* Io_mult
-* Il_mult
-* nnsvth_mult
-* E
-* Tc
-* mode
-* gt
-* v_rbd
-* v_oc
\ No newline at end of file
+* Varr: Voltage array
+* T: Average cell temperature
+* Rsh_mult: Multiplier usually less than 1 to simulate a drop in RSH
+* Rs_mult: Multiplier usually less than 1 to simulate a drop in RS
+* Io_mult: Multiplier usually less than 1 to simulate a drop in IO
+* Il_mult: Multiplier usually less than 1 to simulate a drop in IL
+* nnsvth_mult: Multiplier usually less than 1 to simulate a drop in NNSVTH
+* E: Irradiance 
+* Tc: Cell temp
+* gt: (G - Irradiation and T - temperature)
+* v_rbd: Reverse bias diode voltage 
+* v_oc: Open circuit voltage
\ No newline at end of file
diff --git a/docs/pages/apidoc/iv.rst b/docs/pages/apidoc/iv.rst
index 7cfe679..1c5a6e8 100644
--- a/docs/pages/apidoc/iv.rst
+++ b/docs/pages/apidoc/iv.rst
@@ -1,4 +1,4 @@
-iv package
+iv module
 ==========
 
 iv.extractor module
diff --git a/docs/pages/apidoc/text.rst b/docs/pages/apidoc/text.rst
index f447306..49858b1 100644
--- a/docs/pages/apidoc/text.rst
+++ b/docs/pages/apidoc/text.rst
@@ -1,4 +1,4 @@
-text package
+text module
 ============
 
 text.classify module
diff --git a/docs/pages/apidoc/text2time.rst b/docs/pages/apidoc/text2time.rst
index 15f209a..0b8c664 100644
--- a/docs/pages/apidoc/text2time.rst
+++ b/docs/pages/apidoc/text2time.rst
@@ -1,4 +1,4 @@
-text2time package
+text2time module
 =================
 
 text2time.preprocess module
diff --git a/docs/pages/apidoc/timeseries.rst b/docs/pages/apidoc/timeseries.rst
index 79296ed..a83725c 100644
--- a/docs/pages/apidoc/timeseries.rst
+++ b/docs/pages/apidoc/timeseries.rst
@@ -1,4 +1,4 @@
-timeseries package
+timeseries module
 ==================
 
 timeseries.preprocess module
diff --git a/docs/pages/classguides/ivclassifier.rst b/docs/pages/classguides/ivclassifier.rst
deleted file mode 100644
index a85e884..0000000
--- a/docs/pages/classguides/ivclassifier.rst
+++ /dev/null
@@ -1,46 +0,0 @@
-
-IV Classifier Guide
-====================
-
-.. nn config information extracted from docstring
-
-Parameters used to define a `nn_config` dictionary are disseminated into four categories:
-
-    * Neural network parameters
-
-        - **model_choice** (*str*), model choice, either "1DCNN" or
-          "LSTM_multihead"
-        - **params** (*list[str]*), column names in train & test
-          dataframes, used in neural network. Each value in this column
-          must be a list.
-        - **dropout_pct** (*float*), rate at which to set input units
-          to zero.
-        - **verbose** (*int*), control the specificity of the prints.
-
-    * Training parameters
-
-        - **train_size** (*float*), split of training data used for
-          training
-        - **shuffle_split** (*bool*), shuffle data during test-train
-          split
-        - **balance_tactic** (*str*), mode balancing tactic, either
-          "truncate" or "gravitate". Truncate will utilize the exact
-          same number of samples for each category. Gravitate will sway
-          the original number of samples towards the same number.
-          Default= truncate.
-        - **n_split** (*int*), number of splits in the stratified KFold
-          cross validation.
-        - **batch_size** (*int*), number of samples per gradient update.
-        - **max_epochs** (*int*), maximum number of passes through the
-          training process.
-
-    * LSTM parameters
-
-        - **use_attention_lstm** (*bool*), if True,
-          use attention in LSTM network
-        - **units** (*int*), number of neurons in initial NN lay
-
-    * 1DCNN parameters
-
-        - **nfilters** (*int*), number of filters in the convolution.
-        - **kernel_size** (*int*), length of the convolution window.
\ No newline at end of file
diff --git a/docs/pages/classguides/ivsimulator.rst b/docs/pages/classguides/ivsimulator.rst
deleted file mode 100644
index e9de011..0000000
--- a/docs/pages/classguides/ivsimulator.rst
+++ /dev/null
@@ -1,241 +0,0 @@
-IV Curve Simulator Guide
-=======================================
-
-This page provides a guide to the :py:class:`~pvops.iv.simulator.IV Simulator` 
-class. The primary use of the class is to simulate photovoltaic current-voltage 
-curves with failures.
-
-Methods Overview
------------------
-
-add_preset_conditions(fault_name, fault_condition, save_name = None, kwargs)
-    Define a failure condition using a preset condition. See :py:meth:`add_preset_conditions`
-
-add_manual_conditions(modcell, condition_dict)
-    Define a failure by passing in modcell and cell condition definitons manually. See :py:meth:`add_manual_conditions`
-
-generate_many_samples(identifier, N, distributions = None, default_sample = None)
-    Generate `N` more definitions of the same failure cell condition by defining parameter `distributions`
-
-build_strings(config_dict)
-    Define a string as a list of modules which were defined in :py:meth:`add_preset_conditions` or :py:meth:`add_manual_conditions`
-
-simulate(sample_limit)
-    Simulate cell, substring, module, and string-level definitions
-
-print_info()
-    Display the number of definitions on the cell, module, and string levels
-
-visualize(lim = False)
-    Visualize the definitions and render parameter distributions
-
-IV Simulator Workflow
-----------------------
-
-- Initialize a Simulator object.
-
-    - A `pristine` condition is created automatically, but can be added
-      manually using the ``pristine_condition`` parameter
-
-- Specify failure conditions either by 
-
-    - adding a preset configuration,
-
-    - adding a manual configuration,
-
-    - both.
-
-- (Optional) Generate many definitions of a cell condition
-    ``generate_many_samples(identifier, N, distributions = None, default_sample = None)``
-
-- (Optional) Define a string as a list of modules
-    ``build_strings(config_dict)``
-
-- Simulate all levels of the designed PV system
-    ``simulate(sample_limit)``
-
-- (Optional) Display information about the system
-    ``print_info()``
-    ``visualize(lim = False)``
-
-- Access simulations for your intended use
-
-    1) Export simulations as dataframe, which has columns:
-        ``df = sims_to_df(cutoff=False)``
-
-    2) Access simulations manually
-        Inspect ``Simulator().multilevel_ivdata``
-        See `Attributes` above for information on multilevel_ivdata.
-
-Definition of Faults
------------------------
-
-Preset definitions of faults
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-
-The IV Simulator comes with five built-in conditions:
-
-    - 'complete': entire module has fault_condition (e.g. Full module shading)
-      Requires no other specifications
-
-        - e.g. ``add_preset_conditions('complete', fault_condition)``
-
-    - 'landscape': entire rows are affected by fault_condition (e.g. interrow shading)
-      Requires specification of rows_aff
-
-        - e.g. ``add_preset_conditions('landscape', fault_condition, rows_aff = 2)``
-
-    - 'portrait': entire columns are affected by fault_condition (e.g. vegetation growth shading)
-      Requires specification of cols_af
-
-        - e.g. ``add_preset_conditions('portrait', fault_condition, cols_aff = 2)``
-
-    - 'pole': Place pole shadow over module
-      Requires specification of width (integer), which designates the width of main shadow and 
-      requires light_shading fault_condition specification which specifies less intense shading
-      on edges of shadow.
-
-        - Optional: pos = (left, right) designates the start and end of the pole shading,
-          where left is number in the first column and right is number in last column
-          if pos not specified, the positions are chosen randomly
-        - e.g. ``add_preset_conditions('pole', fault_condition, light_shading = light_fault_condition, width = 2, pos = (5, 56))``
-          
-    - 'bird_droppings': Random positions are chosen for bird_dropping simulation
-    
-        - Optional specification is n_droppings. If not specified, chosen as random number between 
-          1 and the number of cells in a column
-        - e.g. ``add_preset_conditions('bird_droppings', fault_condition, n_droppings = 3)``
-
-
-Manual definition of faults
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-
-To define a fault manually, you must provide two specifications:
-
-    1. Mapping of cells onto a module, which we deem a _modcell_
-    2. Definition of cell conditions, stored in _condition_dict_
-
-For example,
-
-    - ``add_manual_conditions(modcell, condition_dict)``
-
-Example
---------------------------------
-
-First, define desired parameters and pass them into the Simulator
-constructor.
-
-.. doctest::
-
-    >>> mod_specs = {
-    ...     'Jinko_Solar_Co___Ltd_JKM270PP_60': 
-    ...         {'ncols': 6, 'nsubstrings': 3}
-    ... }
-    
-    >>> pristine_condition = {
-    ...     'identifier': 'pristine',
-    ...     'E': 1000,
-    ...     'Tc': 50,
-    ...     'Rsh_mult': 1,
-    ...     'Rs_mult': 1,
-    ...     'Io_mult': 1,
-    ...     'Il_mult': 1,
-    ...     'nnsvth_mult': 1,
-    ... }
-    
-    >>> replacement_5params = {
-    ...     'I_L_ref': 9.06157444e+00,
-    ...     'I_o_ref': 1.67727320e-10,
-    ...     'R_s': 5.35574950e-03,
-    ...     'R_sh_ref': 3.03330425e+00,
-    ...     'a_ref': 2.54553421e-02
-    ... }
-
-.. note:: 
-    replacement_5params is optional, and can be determined 
-    by IVProcessor().
-
-Using the defined parameters, define a Simulator object.
-
-.. doctest::
-
-    >>> import pvops
-
-    >>> sim = pvops.iv.Simulator(
-    ... mod_specs,
-    ... pristine_condition,
-    ... replacement_5params
-    ... )
-
-Add a preset condition. In this case, we use the preset condition 'complete'.
-
-.. doctest::
-
-    >>> condition = {'identifier':'light_shade','E':925}
-    >>> sim.add_preset_conditions('complete', condition, save_name = f'Complete_lightshading')
-
-Add a manual condition. Note that this requires the definition of a modcell.
-
-.. doctest::
-
-    >>> modcells = {
-    ...     'unique_shading': 
-    ...         [0,0,0,0,0,0,0,0,0,0,  # Using 1D list 
-    ...         1,1,1,1,1,1,1,1,1,1,
-    ...         1,1,1,1,1,1,1,1,1,1, 
-    ...         1,1,1,1,1,1,1,1,1,1,
-    ...         1,1,1,1,1,1,1,1,1,1,  
-    ...         0,0,0,0,0,0,0,0,0,0],
-    ...     'another_example': 
-    ...         [[0,0,0,0,0,0,0,0,0,0,  # Using 2D list (aka, multiple conditions as input)
-    ...         1,1,1,1,1,1,1,1,1,1,
-    ...         1,1,1,0,0,0,0,1,1,1, 
-    ...         1,1,1,0,0,0,0,1,1,1,
-    ...         1,1,1,0,0,0,0,1,1,1,  
-    ...         0,0,0,0,0,0,0,0,0,0],
-    ...         [0,1,0,0,0,0,0,0,0,0,  
-    ...         1,1,1,1,1,1,1,1,1,1,
-    ...         1,1,1,1,1,1,1,1,1,1, 
-    ...         0,0,0,1,1,1,0,0,0,0,
-    ...         0,0,0,1,1,1,0,0,0,0,  
-    ...         0,0,0,0,0,0,0,0,0,0]]
-    ... }
-
-
-.. note:: 
-    All numbers used in modcells must be defined here.
-    If defining a pristine condition, pass a blank dictionary.
-    If making edits to a pristine condition (e.g. dropping irradiance to 400)
-    you only need to
-
-        - specify the change made, and 
-        - name an identifier string (for future reference)
-
-    The pristine condition can be changed when first creating the class object.
-    To define a pristine, you can either pass an empty dictionary or pass {'identifier':'pristine'}
-
-.. doctest::
-    
-    >>> condition_dict = {
-    ...     0: {},
-    ...     1: {
-    ...         'identifier': 'shading_cond1',
-    ...         'E': 400,
-    ...     }                              
-    ... }
-    >>> sim.add_manual_conditions(modcells, condition_dict)
-
-Next, we build strings and simulate:
-
-.. doctest::
-
-    >>> sim.build_strings({'Partial_lightshading': ['pristine']*6 + ['Complete_lightshading']*6})
-    >>> sim.simulate()
-    >>> sim.print_info()
-
-Finally, we obtain the results
-
-.. doctest::
-
-    >>> Vsim = sim.multilevel_ivdata['string']['Partial_lightshading']['V'][0]
-    >>> Isim = sim.multilevel_ivdata['string']['Partial_lightshading']['I'][0]
\ No newline at end of file
diff --git a/docs/pages/classguides/modcell.rst b/docs/pages/classguides/modcell.rst
deleted file mode 100644
index 07f2fc9..0000000
--- a/docs/pages/classguides/modcell.rst
+++ /dev/null
@@ -1,3 +0,0 @@
-
-Modcell Guide
-=============
\ No newline at end of file
diff --git a/docs/pages/contributing.rst b/docs/pages/contributing.rst
index df76837..44b6d73 100644
--- a/docs/pages/contributing.rst
+++ b/docs/pages/contributing.rst
@@ -10,16 +10,75 @@ and test before submitting code.
 Checking that your PR passes the required testing and linting procedures will speed up
 the acceptance of your PR.
 
-**If you find errors in the codebase:**
+Issues and bug reporting
+------------------------
 
-1. Submit an issue at the `pvops issues page <https://github.com/sandialabs/pvops/issues>`_
+To report issues or bugs please create a new issue on 
+the `pvops issues page <https://github.com/sandialabs/pvops/issues>`_.
+Before submitting your bug report, please perform a cursory search 
+to see if the problem has been already reported. If it has been reported, 
+and the issue is still open, add a comment to the existing issue instead of opening a new issue.
 
-**If you would like to contribute:**
+Guidelines for effective bug reporting
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-2. Create a pull request (PR) or help with other PRs which are in the library 
-   by referencing `pvops PR page <https://github.com/sandialabs/pvops/pulls>`_. 
-   Pull requests should contain code that follows the PEP8 python code style.
+- Use a clear descriptive title for the issue.
 
-**If you are confused:**
+- Describe the steps to reproduce the problem, 
+  the behavior you observed after following the steps, and the expected behavior.
 
-3. Feel free to reach out to the package maintainer, found in ``setup.py``. 
+- If possible, provide a simple example of the bug using pvOps example data.
+
+- When relevant, provide information on your computing environment
+  (operating system, python version, pvOps version or commit).
+
+- For runtime errors, provide a function call stack.
+
+Contributing code
+-----------------
+
+Software developers, within the core development team and external collaborators, 
+are expected to follow standard practices to document and test new code. 
+Software developers interested in contributing to the project are encouraged 
+to create a Fork of the project and submit a Pull Request (PR) using GitHub.
+Pull requests will be reviewed by the core development team.
+Create a PR or help with other PRs which are in the library 
+by referencing `pvops PR page <https://github.com/sandialabs/pvops/pulls>`_. 
+
+Guidelines for preparing and submitting pull-requests
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+- Use a clear descriptive title for your pull-requests
+
+- Describe if your submission is a bugfix, documentation update, or a feature
+  enhancement. Provide a concise description of your proposed changes. 
+  
+- Provide references to open issues, if applicable, to provide the necessary
+  context to understand your pull request
+  
+- Make sure that your pull-request merges cleanly with the `master` branch of
+  pvOps. When working on a feature, always create your feature branch off of
+  the latest `master` commit
+  
+- Ensure that appropriate documentation and tests accompany any added features.
+  
+  
+Once a pull-request is submitted you will iterate with NuMAD maintainers
+until your changes are in an acceptable state and can be merged in. You can push
+addditional commits to the branch used to create the pull-request to reflect the
+feedback from maintainers and users of the code.
+
+Questions and feature requests
+--------------------------------
+
+For any questions regarding pvOps or requests for additional features,
+users may open an issue on the `pvops issues page <https://github.com/sandialabs/pvops/issues>`_
+or contact the package maintainer found in ``setup.py``.
+
+Guidelines for effective bug reporting
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+- Use a clear, descriptive title for the question or feature request.
+
+- If submitting a feature request, please provide context, examples, and
+  references when relevant.
\ No newline at end of file
diff --git a/docs/pages/data.rst b/docs/pages/data.rst
deleted file mode 100644
index ce2e31e..0000000
--- a/docs/pages/data.rst
+++ /dev/null
@@ -1,49 +0,0 @@
-Loading Data into pvOps
-===========================
-
-pvOps handles three types of photovoltaic data:
-
-Types of Data
-^^^^^^^^^^^^^^
-
-Production
-----------
-.. Description of production style data
-.. Explanation of column dictionaries
-.. doctest for loading and viewing data
-
-Operation and maintenance
--------------------------
-.. Description of OM style data
-.. Explanation of column dictionaries
-.. doctest for loading and viewing data
-
-IV curves
----------
-.. Description of IV style data
-.. Explanation of column dictionaries
-.. doctest for loading and viewing data
-
-Column Dictionaries
-^^^^^^^^^^^^^^^^^^^
-
-Many functions in the pvOps library make assumptions about the column
-names of the DataFrames which are passed into them. To allow users to
-keep a potentially different naming scheme, pvOps uses column dictionaries
-to translate between user column names and pvOps column names.
-The format for dictionaries is {pvops variable: user-specific column names}. 
-For example,
-
-.. code-block::
-
-    >>> om_col_dict = {
-    ... 'siteid': 'randid',
-    ... 'datestart': 'date_start',
-    ... 'dateend': 'date_end',
-    ... 'workID': 'WONumber',
-    ... 'worktype': 'WOType',
-    ... 'asset': 'Asset',
-    ... 'eventdur': 'EventDur', #user's name choice for new column (Repair Duration)
-    ... 'modatestart': 'MonthStart', #user's name choice for new column (Month when an event begins)
-    ... 'agedatestart': 'AgeStart'} #user's name choice for new column (Age of system when event begins)
-
diff --git a/docs/pages/development.rst b/docs/pages/development.rst
index d5e3bfe..5a54e62 100644
--- a/docs/pages/development.rst
+++ b/docs/pages/development.rst
@@ -73,21 +73,6 @@ to be parsed and displayed correctly. For an example of what this should look li
 
 Additional examples can be found in the 
 `napoleon documentation <https://sphinxcontrib-napoleon.readthedocs.io/en/latest/example_numpy.html>`_.
-The following boilerplate can be copy-pasted into the top of a function definition
-to help get things started::
-
-    """Summary line.
-
-    Extended description of function.
-
-    Parameters
-    ----------
-
-    Returns
-    -------
-
-
-    """
 
 Extending Documentation
 ^^^^^^^^^^^^^^^^^^^^^^^
diff --git a/docs/pages/examples.rst b/docs/pages/examples.rst
deleted file mode 100644
index d339e96..0000000
--- a/docs/pages/examples.rst
+++ /dev/null
@@ -1,17 +0,0 @@
-pvOps Examples
-==============
-
-Check out the examples below!
-
-.. toctree::
-   :maxdepth: 1
-   :caption: List of examples:
-
-   examples/tutorial_text2time_module.nblink
-   examples/tutorial_textmodule.nblink
-   examples/tutorial_timeseries.nblink
-   examples/tutorial_AIT_timeseries.nblink
-   examples/tutorial_timeseries_sim.nblink
-   examples/tutorial_iv_simulator.nblink
-   examples/tutorial_iv_classifier.nblink
-   examples/tutorial_iv_diode_extractor.nblink
diff --git a/docs/pages/examples/tutorial_AIT_timeseries.nblink b/docs/pages/examples/tutorial_AIT_timeseries.nblink
deleted file mode 100644
index e2c4f14..0000000
--- a/docs/pages/examples/tutorial_AIT_timeseries.nblink
+++ /dev/null
@@ -1,3 +0,0 @@
-{
-    "path": "../../../examples/tutorial_AIT_timeseries.ipynb"
-}
\ No newline at end of file
diff --git a/docs/pages/examples/tutorial_iv_classifier.nblink b/docs/pages/examples/tutorial_iv_classifier.nblink
deleted file mode 100644
index c80fb79..0000000
--- a/docs/pages/examples/tutorial_iv_classifier.nblink
+++ /dev/null
@@ -1,3 +0,0 @@
-{
-    "path": "../../../examples/tutorial_iv_classifier.ipynb"
-}
\ No newline at end of file
diff --git a/docs/pages/examples/tutorial_iv_diode_extractor.nblink b/docs/pages/examples/tutorial_iv_diode_extractor.nblink
deleted file mode 100644
index 723dda3..0000000
--- a/docs/pages/examples/tutorial_iv_diode_extractor.nblink
+++ /dev/null
@@ -1,3 +0,0 @@
-{
-    "path": "../../../examples/tutorial_iv_diode_extractor.ipynb"
-}
\ No newline at end of file
diff --git a/docs/pages/examples/tutorial_iv_simulator.nblink b/docs/pages/examples/tutorial_iv_simulator.nblink
deleted file mode 100644
index bd3649e..0000000
--- a/docs/pages/examples/tutorial_iv_simulator.nblink
+++ /dev/null
@@ -1,3 +0,0 @@
-{
-    "path": "../../../examples/tutorial_iv_simulator.ipynb"
-}
\ No newline at end of file
diff --git a/docs/pages/examples/tutorial_text2time_module.nblink b/docs/pages/examples/tutorial_text2time_module.nblink
deleted file mode 100644
index 473a071..0000000
--- a/docs/pages/examples/tutorial_text2time_module.nblink
+++ /dev/null
@@ -1,3 +0,0 @@
-{
-    "path": "../../../examples/tutorial_text2time_module.ipynb"
-}
\ No newline at end of file
diff --git a/docs/pages/examples/tutorial_textmodule.nblink b/docs/pages/examples/tutorial_textmodule.nblink
deleted file mode 100644
index 4ed6680..0000000
--- a/docs/pages/examples/tutorial_textmodule.nblink
+++ /dev/null
@@ -1,3 +0,0 @@
-{
-    "path": "../../../examples/tutorial_textmodule.ipynb"
-}
\ No newline at end of file
diff --git a/docs/pages/examples/tutorial_timeseries.nblink b/docs/pages/examples/tutorial_timeseries.nblink
deleted file mode 100644
index 988087b..0000000
--- a/docs/pages/examples/tutorial_timeseries.nblink
+++ /dev/null
@@ -1,3 +0,0 @@
-{
-    "path": "../../../examples/tutorial_timeseries.ipynb"
-}
\ No newline at end of file
diff --git a/docs/pages/examples/tutorial_timeseries_sim.nblink b/docs/pages/examples/tutorial_timeseries_sim.nblink
deleted file mode 100644
index 21c7bba..0000000
--- a/docs/pages/examples/tutorial_timeseries_sim.nblink
+++ /dev/null
@@ -1,3 +0,0 @@
-{
-    "path": "../../../examples/tutorial_timeseries_sim.ipynb"
-}
\ No newline at end of file
diff --git a/docs/pages/installation.rst b/docs/pages/installation.rst
index 49ccc6d..b62f31b 100644
--- a/docs/pages/installation.rst
+++ b/docs/pages/installation.rst
@@ -1,8 +1,8 @@
 Installation
 =============
 
-pvops is tested on Python version 3.7 and 3.8 and depends on a variety of
-packages. See :ref:`reqs` for more information.
+pvops is tested on Python versions 3.8, 3.9, 3.10, and 3.11 and depends on a variety of
+packages.
 
 The latest release of pvops is accessible via PYPI using the following
 command line prompt::
@@ -18,7 +18,7 @@ Alternatively, the package can be installed using github::
 NLTK data
 ----------
 
-Functions in the text package relies on the "punkt" dataset for the nltk package.
+Functions in the text package rely on the "punkt" dataset from the nltk package.
 After proper installation of pvops, run the commands::
     
     >>> import nltk
@@ -27,4 +27,4 @@ After proper installation of pvops, run the commands::
 
 Those operating under a proxy may have difficulty with this installation.
 This `stack exchange post <https://stackoverflow.com/questions/38916452/nltk-download-ssl-certificate-verify-failed>`_
-may help.
\ No newline at end of file
+may help.
diff --git a/docs/pages/moduleguides/iv.rst b/docs/pages/moduleguides/iv.rst
index f5ca64d..19efbad 100644
--- a/docs/pages/moduleguides/iv.rst
+++ b/docs/pages/moduleguides/iv.rst
@@ -1,4 +1,4 @@
-IV package
+IV Guide
 ===============
 
 Module Overview
@@ -8,6 +8,11 @@ Module Overview
 These functions focus on current-voltage (IV) curve simulation and 
 classification.
 
+Tutorials that exemplify usage can be found at:
+  - `tutorial_iv_classifier.ipynb <https://github.com/sandialabs/pvOps/blob/master/tutorials/tutorial_iv_classifier.ipynb>`_.
+  - `tutorial_iv_diode_extractor.ipynb <https://github.com/sandialabs/pvOps/blob/master/tutorials/tutorial_iv_diode_extractor.ipynb>`_.
+  - `tutorial_iv_simulator.ipynb <https://github.com/sandialabs/pvOps/blob/master/tutorials/tutorial_iv_simulator.ipynb>`_.
+
 extractor
 ^^^^^^^^^^^^^^^^^^^^^
 
diff --git a/docs/pages/moduleguides/text.rst b/docs/pages/moduleguides/text.rst
index 7fdbf2f..5467ae5 100644
--- a/docs/pages/moduleguides/text.rst
+++ b/docs/pages/moduleguides/text.rst
@@ -18,7 +18,8 @@ to prepare data for natural language processing (text.nlp_utils submodule),
 and a visualization suite (text.visualize submodule).
 
 An example implementation of all capabilities can be found in 
-``text_class_example.py`` for specifics, and `tutorial_textmodule.ipynb` for basics.
+`text_class_example.py <https://github.com/sandialabs/pvOps/blob/master/tutorials/text_class_example.py>`_ 
+for specifics, and `tutorial_textmodule.ipynb <https://github.com/sandialabs/pvOps/blob/master/tutorials/tutorial_textmodule.ipynb>`_ for basics.
 
 Text pre-processing
 ^^^^^^^^^^^^^^^^^^^^^
diff --git a/docs/pages/moduleguides/text2time.rst b/docs/pages/moduleguides/text2time.rst
index 1c43d54..c4b13f9 100644
--- a/docs/pages/moduleguides/text2time.rst
+++ b/docs/pages/moduleguides/text2time.rst
@@ -14,6 +14,10 @@ data fusion. Key features include:
 * generation of baseline values for production loss estimations.
 * calculation of losses from production anomalies for specific time periods.
 
+An example of usage can be found in 
+`tutorial_text2time_module.ipynb <https://github.com/sandialabs/pvOps/blob/master/tutorials/tutorial_text2time_module.ipynb>`_.
+
+
 The text2time package can be broken down into three main components: 
 `data pre-processing`, `utils`, and `visualizations`.
 
diff --git a/docs/pages/moduleguides/timeseries.rst b/docs/pages/moduleguides/timeseries.rst
index 08ba9b4..ad79fb7 100644
--- a/docs/pages/moduleguides/timeseries.rst
+++ b/docs/pages/moduleguides/timeseries.rst
@@ -16,6 +16,9 @@ Additionally, the ability to generate expected energy via IEC
 standards is implemented in the :py:mod:`~pvops.timeseries.models.iec`
 module.
 
+An example of usage can be found in 
+`tutorial_timeseries_module.ipynb <https://github.com/sandialabs/pvOps/blob/master/tutorials/tutorial_timeseries_module.ipynb>`.
+
 Preprocess
 ^^^^^^^^^^^^^^^^^^^^^
 * :py:func:`pvops.timeseries.preprocess.prod_inverter_clipping_filter` 
diff --git a/docs/pages/releasenotes.rst b/docs/pages/releasenotes.rst
index bcc0dda..06ca773 100644
--- a/docs/pages/releasenotes.rst
+++ b/docs/pages/releasenotes.rst
@@ -1,11 +1,17 @@
 .. _whatsnew:
 
-**********
 What's New
-**********
+==========
 
 These are new features and improvements of note in each release.
 
+.. include:: releasenotes/0.2.0.rst
+
+.. include:: releasenotes/0.1.9.rst
+
+.. include:: releasenotes/0.1.8.rst
+
+.. include:: releasenotes/0.1.7.rst
 
 .. include:: releasenotes/beta.rst
 
diff --git a/docs/pages/releasenotes/0.1.7.rst b/docs/pages/releasenotes/0.1.7.rst
new file mode 100644
index 0000000..8ac5acb
--- /dev/null
+++ b/docs/pages/releasenotes/0.1.7.rst
@@ -0,0 +1,4 @@
+0.1.7 (September 20 2021)
+-------------------------
+
+Updated functions for data processing (text and timeseries) analysis. Also includes IV curve functions
diff --git a/docs/pages/releasenotes/0.1.8.rst b/docs/pages/releasenotes/0.1.8.rst
new file mode 100644
index 0000000..303b1a3
--- /dev/null
+++ b/docs/pages/releasenotes/0.1.8.rst
@@ -0,0 +1,13 @@
+0.1.8 (Jan 14 2022)
+-----------------------
+
+Includes a data-derived expected energy model trained using machine learning methods. Associated example is also within the documentation.
+
+Functionality
+~~~~~~~~~~~~~
+
+* Added AIT model
+
+Other
+~~~~~~~~~~~~~
+* Add citation.cif
diff --git a/docs/pages/releasenotes/0.1.9.rst b/docs/pages/releasenotes/0.1.9.rst
new file mode 100644
index 0000000..d7dac27
--- /dev/null
+++ b/docs/pages/releasenotes/0.1.9.rst
@@ -0,0 +1,11 @@
+0.1.9 (November 21 2022)
+-------------------------
+
+Includes updated documentation and fixes for dependency issues
+
+
+Documentation
+~~~~~~~~~~~~~
+
+* Docstrings polished across the package.
+* Resolved documentation build errors and warnings
diff --git a/docs/pages/releasenotes/0.2.0.rst b/docs/pages/releasenotes/0.2.0.rst
new file mode 100644
index 0000000..b683f6c
--- /dev/null
+++ b/docs/pages/releasenotes/0.2.0.rst
@@ -0,0 +1,19 @@
+0.2.0 (August 9 2023)
+-----------------------
+
+This release incorporates new functions and addresses depreciated commands in some of the package dependencies.
+
+Documentation
+~~~~~~~~~~~~~
+
+* Doc pages "makeover" in preparation for JOSS publication
+* Added additional context and detail to example notebooks.
+* Added module guides
+* Added contributing pages
+
+New Features
+~~~~~~~~~~~~
+
+* Added `get_attributes_from_keywords` to text.classify
+* Added `get_keywords_of_interest` to text.preprocess
+* Added `remap_words_in_text` to text.visualize
\ No newline at end of file
diff --git a/docs/pages/tutorials.rst b/docs/pages/tutorials.rst
new file mode 100644
index 0000000..963bf16
--- /dev/null
+++ b/docs/pages/tutorials.rst
@@ -0,0 +1,24 @@
+pvOps Tutorials
+===============
+
+Check out the tutorials below!
+
+.. nbgallery::
+   :caption: Text & Text2Time tutorials:
+
+   tutorials/tutorial_text2time_module
+   tutorials/tutorial_textmodule
+
+.. nbgallery::
+   :caption: Energy modelling tutorials:
+
+   tutorials/tutorial_timeseries
+   tutorials/tutorial_AIT_timeseries
+   tutorials/tutorial_timeseries_sim
+
+.. nbgallery::
+   :caption: IV tutorials:
+
+   tutorials/tutorial_iv_simulator
+   tutorials/tutorial_iv_classifier
+   tutorials/tutorial_iv_diode_extractor
diff --git a/examples/assets/diode_param_extractor.png b/docs/pages/tutorials/assets/diode_param_extractor.png
similarity index 100%
rename from examples/assets/diode_param_extractor.png
rename to docs/pages/tutorials/assets/diode_param_extractor.png
diff --git a/docs/pages/tutorials/tutorial_AIT_timeseries.nblink b/docs/pages/tutorials/tutorial_AIT_timeseries.nblink
new file mode 100644
index 0000000..5dd67f6
--- /dev/null
+++ b/docs/pages/tutorials/tutorial_AIT_timeseries.nblink
@@ -0,0 +1,3 @@
+{
+    "path": "../../../tutorials/tutorial_AIT_timeseries.ipynb"
+}
\ No newline at end of file
diff --git a/docs/pages/tutorials/tutorial_iv_classifier.nblink b/docs/pages/tutorials/tutorial_iv_classifier.nblink
new file mode 100644
index 0000000..e8b17c9
--- /dev/null
+++ b/docs/pages/tutorials/tutorial_iv_classifier.nblink
@@ -0,0 +1,3 @@
+{
+    "path": "../../../tutorials/tutorial_iv_classifier.ipynb"
+}
\ No newline at end of file
diff --git a/docs/pages/tutorials/tutorial_iv_diode_extractor.nblink b/docs/pages/tutorials/tutorial_iv_diode_extractor.nblink
new file mode 100644
index 0000000..8123d4d
--- /dev/null
+++ b/docs/pages/tutorials/tutorial_iv_diode_extractor.nblink
@@ -0,0 +1,3 @@
+{
+    "path": "../../../tutorials/tutorial_iv_diode_extractor.ipynb"
+}
\ No newline at end of file
diff --git a/docs/pages/tutorials/tutorial_iv_simulator.nblink b/docs/pages/tutorials/tutorial_iv_simulator.nblink
new file mode 100644
index 0000000..d9c5809
--- /dev/null
+++ b/docs/pages/tutorials/tutorial_iv_simulator.nblink
@@ -0,0 +1,3 @@
+{
+    "path": "../../../tutorials/tutorial_iv_simulator.ipynb"
+}
\ No newline at end of file
diff --git a/docs/pages/tutorials/tutorial_text2time_module.nblink b/docs/pages/tutorials/tutorial_text2time_module.nblink
new file mode 100644
index 0000000..4862dbb
--- /dev/null
+++ b/docs/pages/tutorials/tutorial_text2time_module.nblink
@@ -0,0 +1,3 @@
+{
+    "path": "../../../tutorials/tutorial_text2time_module.ipynb"
+}
\ No newline at end of file
diff --git a/docs/pages/tutorials/tutorial_textmodule.nblink b/docs/pages/tutorials/tutorial_textmodule.nblink
new file mode 100644
index 0000000..16c12c8
--- /dev/null
+++ b/docs/pages/tutorials/tutorial_textmodule.nblink
@@ -0,0 +1,3 @@
+{
+    "path": "../../../tutorials/tutorial_textmodule.ipynb"
+}
\ No newline at end of file
diff --git a/docs/pages/tutorials/tutorial_timeseries.nblink b/docs/pages/tutorials/tutorial_timeseries.nblink
new file mode 100644
index 0000000..a06f9b2
--- /dev/null
+++ b/docs/pages/tutorials/tutorial_timeseries.nblink
@@ -0,0 +1,3 @@
+{
+    "path": "../../../tutorials/tutorial_timeseries.ipynb"
+}
\ No newline at end of file
diff --git a/docs/pages/tutorials/tutorial_timeseries_sim.nblink b/docs/pages/tutorials/tutorial_timeseries_sim.nblink
new file mode 100644
index 0000000..a920167
--- /dev/null
+++ b/docs/pages/tutorials/tutorial_timeseries_sim.nblink
@@ -0,0 +1,3 @@
+{
+    "path": "../../../tutorials/tutorial_timeseries_sim.ipynb"
+}
\ No newline at end of file
diff --git a/docs/pages/userguide.rst b/docs/pages/userguide.rst
index db11e0e..730665b 100644
--- a/docs/pages/userguide.rst
+++ b/docs/pages/userguide.rst
@@ -1,26 +1,24 @@
 User Guide
 ==========================
 
-Use these brief guides to get started with their respective module.
+.. toctree::
+    :maxdepth: 1
+    :caption: Getting Started
+ 
+    installation
+
 
 .. toctree::
     :maxdepth: 1
-    :caption: Guides
+    :caption: Module Guides
  
     moduleguides/text
     moduleguides/text2time
     moduleguides/timeseries
     moduleguides/iv
-    data
-
-
-
-These guides provide details about specific classes used throughout pvOps.
-
+    
 .. toctree::
     :maxdepth: 1
-    :caption: Class Guides
+    :caption: Abbreviations
 
-    classguides/modcell
-    classguides/ivsimulator
-    classguides/ivclassifier
\ No newline at end of file
+    abbreviations
diff --git a/docs/refs/pvops.bib b/docs/refs/pvops.bib
index 6eef05e..ae86a99 100644
--- a/docs/refs/pvops.bib
+++ b/docs/refs/pvops.bib
@@ -74,4 +74,40 @@ @article{osti_1078057
 place = {United States},
 year = {2013},
 month = {4}
-}
\ No newline at end of file
+}
+
+@techreport{deceglie2018rdtools,
+  title={RdTools: an open source python library for PV degradation analysis},
+  author={Deceglie, Michael G and Jordan, Dirk and Nag, Ambarish and Deline, Christopher A and Shinn, Adam},
+  year={2018},
+  institution={National Renewable Energy Lab.(NREL), Golden, CO (United States)}
+}
+
+@article{holmgren2018pvlib,
+  title={pvlib python: A python package for modeling solar energy systems},
+  author={Holmgren, William F and Hansen, Clifford W and Mikofski, Mark A},
+  journal={Journal of Open Source Software},
+  volume={3},
+  number={29},
+  pages={884},
+  doi={10.21105/joss.00884},
+  year={2018}
+}
+
+@inproceedings{pierce2020identifying,
+  title={Identifying Degradation Modes of Photovoltaic Modules Using Unsupervised Machine Learning on Electroluminescense Images},
+  author={Pierce, Benjamin G and Karimi, Ahmad Maroof and Liu, JiQi and French, Roger H and Braid, Jennifer L},
+  booktitle={2020 47th IEEE Photovoltaic Specialists Conference (PVSC)},
+  pages={1850--1855},
+  year={2020},
+  organization={IEEE},
+  doi = {10.1109/PVSC45281.2020.9301021}
+}
+
+@techreport{klise2016performance,
+  title={Performance Monitoring using Pecos (V. 0.1)},
+  author={Klise, Katherine A and Stein, Joshua S},
+  year={2016},
+  institution={Sandia National Laboraties},
+  doi = {10.2172/1734479}
+}
diff --git a/docs/requirements.txt b/docs/requirements.txt
deleted file mode 100644
index 6ddd503..0000000
--- a/docs/requirements.txt
+++ /dev/null
@@ -1,9 +0,0 @@
-ipykernel
-nbsphinx
-nbsphinx-link
-sphinx-copybutton
-sphinx_rtd_theme
-sphinxcontrib.bibtex
-nbformat
-nbconvert
-coverage
\ No newline at end of file
diff --git a/examples/__init__.py b/examples/__init__.py
deleted file mode 100644
index e69de29..0000000
diff --git a/noxfile.py b/noxfile.py
new file mode 100644
index 0000000..5531730
--- /dev/null
+++ b/noxfile.py
@@ -0,0 +1,42 @@
+import nox
+
+@nox.session
+def tests(session):
+    """Run tests."""
+    session.install(".")
+    session.install("pytest")
+    session.run("pytest")
+
+@nox.session
+def lint(session):
+    """Lint."""
+    session.install("flake8")
+    session.run("flake8", "--import-order-style", "google")
+
+@nox.session
+def docs(session):
+    """Generate documentation."""
+    session.install(".[docs]")
+    session.cd("docs/")
+    session.run("make", "html")
+
+@nox.session
+def serve(session):
+    """Serve documentation. Port can be specified as a positional argument."""
+    try:
+        port = session.posargs[0]
+    except IndexError:
+        port = "8085"
+    session.run("python", "-m", "http.server", "-b", "localhost", "-d", "docs/_build/html", port)
+
+@nox.session
+def check_style(session):
+    """Check if code follows black style."""
+    session.install("black")
+    session.run("black", "--check", "src")
+
+@nox.session
+def enforce_style(session):
+    """Apply black style to code base."""
+    session.install("black")
+    session.run("black", "src")
\ No newline at end of file
diff --git a/paper.md b/paper.md
index 6275300..e2df9db 100644
--- a/paper.md
+++ b/paper.md
@@ -50,14 +50,12 @@ PV data collected in the field varies greatly in structure (i.e., timeseries and
 # Package Overview 
 The following table summarizes the four modules within `pvOps` by presenting: the type of data they analyze, example data features, and highlights of relevant functions. 
 
-<!-- Module | Type of data | Example data features | Highlights of functions
+Module | Type of data | Example data features | Highlights of functions
 ------- | ------ | --------- | -----------
-text | O&M records | - *timestamps* string or datetime <br> - *issue description* string (unstructured) <br> - *classification* string (structured) | - fill data gaps in dates and categorical records <br> - visualize word clusters and patterns over time
-timeseries | Production data | - site: integer or string <br> - *timestamp* string or datetime <br> - *power production* numeric <br> - *irradiance* numeric | - estimate expected energy with multiple models <br> - evaluate inverter clipping
-text2time | O&M records and <br> production data | see entries for `text` and <br>  `timeseries` modules above | - analyze overlaps between O&M and production (timeseries) records <br> - visualize overlaps between O&M records and production data
-iv | IV records | - *current* 1D array <br> - *voltage* 1D array <br> - *irradiance* numeric <br> - *temperature* numeric | - *simulate* IV curves with physical faults <br> - extract diode parameters from IV curves <br> - classify faults using IV curves -->
-
-![table](table.png)
+text | O&M records | timestamps, issue description, issue classification | fill data gaps in dates and categorical records, visualize word clusters and patterns over time
+timeseries | Production data | *site*, *timestamp*, *power production*, *irradiance* | estimate expected energy with multiple models, evaluate inverter clipping
+text2time | O&M records and production data | see entries for `text` and  `timeseries` modules above | analyze overlaps between O&M and production (timeseries) records, visualize overlaps between O&M records and production data
+iv | IV records | *current*, *voltage*, *irradiance*, *temperature*  | *simulate* IV curves with physical faults, extract diode parameters from IV curves,. classify faults using IV curves
 
 The functions within each module can be used to build pipelines that integrate relevant data processing, fusion, and visualization capabilities to support user endgoals. For example, a user with IV curve data could build a pipeline that leverages functions within the `iv` module to process and extract diode parameters within IV curves as well as train models to support classifications based on fault type. A pipeline could be also be built that leverages functions across modules if a user has access to multiple types of data (e.g., both O&M and production records). A sample end-to-end workflow using `pvOps` modules could be: 
 1. Use functions within the `text` module to systematically review data quality issues within O&M records, train a machine learning model on available records, and use the model to estimate possible labels for missing entries
diff --git a/pvops/__init__.py b/pvops/__init__.py
index e8df8b1..b5fea55 100644
--- a/pvops/__init__.py
+++ b/pvops/__init__.py
@@ -1,4 +1,12 @@
 from pvops import text
 from pvops import text2time
 from pvops import timeseries
-from pvops import iv
\ No newline at end of file
+from pvops import iv
+
+__version__ = '0.2.0'
+
+__copyright__ = """Copyright 2023 National Technology & Engineering 
+Solutions of Sandia, LLC (NTESS). Under the terms of Contract DE-NA0003525 
+with NTESS, the U.S. Government retains certain rights in this software."""
+
+__license__ = "BSD 3-Clause License"
\ No newline at end of file
diff --git a/pvops/iv/physics_utils.py b/pvops/iv/physics_utils.py
index 92adabc..5ff1dbc 100644
--- a/pvops/iv/physics_utils.py
+++ b/pvops/iv/physics_utils.py
@@ -37,7 +37,7 @@ def calculate_IVparams(v, c):
 
     # for snippet_idx in range(len(v[::5])):
     # isc and rsh
-    if type(isc_lim) == float:
+    if isinstance(isc_lim, float):
         isc_size = int(len(c) * isc_lim)
     else:
         isc_size = isc_lim
@@ -47,7 +47,7 @@ def calculate_IVparams(v, c):
     rsh = 1 / (isc_lm.coef_[0][0] * -1)
 
     # voc and rs
-    if type(voc_lim) == float:
+    if isinstance(voc_lim, float):
         voc_size = int(len(v) * voc_lim)
     else:
         voc_size = voc_lim
diff --git a/pvops/iv/simulator.py b/pvops/iv/simulator.py
index 9184db0..978fc8c 100644
--- a/pvops/iv/simulator.py
+++ b/pvops/iv/simulator.py
@@ -11,7 +11,7 @@
 from tqdm import tqdm
 import pvlib
 from pvops.iv.utils import get_CEC_params
-from pvops.iv.physics_utils import voltage_pts, add_series, bypass,\
+from pvops.iv.physics_utils import voltage_pts, add_series, bypass, \
     intersection, iv_cutoff, gt_correction
 
 
diff --git a/pvops/text/classify.py b/pvops/text/classify.py
index 066600e..56f8408 100644
--- a/pvops/text/classify.py
+++ b/pvops/text/classify.py
@@ -8,6 +8,7 @@
 import pandas as pd
 import copy
 
+from pvops.text.preprocess import get_keywords_of_interest
 
 def classification_deployer(
     X,
@@ -24,7 +25,7 @@ def classification_deployer(
     The output of this function will be a data frame showing the performance of each classifier when utilizing a specific hyperparameter
     configuration.
 
-    To see an example of this method's application, see ``examples//text_class_example.py``
+    To see an example of this method's application, see ``tutorials//text_class_example.py``
 
     Parameters
     ----------
@@ -187,3 +188,53 @@ def classification_deployer(
             best_gs_instance = gs_clf
 
     return pd.concat(rows, axis=1).T, best_gs_instance.best_estimator_
+
+def get_attributes_from_keywords(om_df, col_dict, reference_df, reference_col_dict):
+    """Find keywords of interest in specified column of dataframe, return as new column value.
+
+    If keywords of interest given in a reference dataframe are in the specified column of the
+    dataframe, return the keyword category, or categories.
+    For example, if the string 'inverter' is in the list of text, return ['inverter'].
+
+    Parameters
+    ----------
+    om_df : pd.DataFrame
+        Dataframe to search for keywords of interest, must include text_col.
+    col_dict : dict of {str : str}
+        A dictionary that contains the column names needed:
+
+        - data : string, should be assigned to associated column which stores the tokenized text logs
+        - predicted_col : string, will be used to create keyword search label column
+    reference_df : DataFrame
+        Holds columns that define the reference dictionary to search for keywords of interest,
+        Note: This function can currently only handle single words, no n-gram functionality.
+    reference_col_dict : dict of {str : str}
+        A dictionary that contains the column names that describes how
+        referencing is going to be done
+
+        - reference_col_from : string, should be assigned to
+          associated column name in reference_df that are possible input reference values
+          Example: pd.Series(['inverter', 'invert', 'inv'])
+        - reference_col_to : string, should be assigned to
+          associated column name in reference_df that are the output reference values
+          of interest
+          Example: pd.Series(['inverter', 'inverter', 'inverter'])
+
+    Returns
+    -------
+    om_df: pd.DataFrame
+        Input df with new_col added, where each found keyword is its own row, may result in
+        duplicate rows if more than one keywords of interest was found in text_col.
+    """
+    om_df[col_dict['predicted_col']] = om_df[col_dict['data']].apply(get_keywords_of_interest,
+                                                                     reference_df=reference_df,
+                                                                     reference_col_dict=reference_col_dict)
+
+    # each multi-category now in its own row, some logs have multiple equipment issues
+    multiple_keywords_df = om_df[om_df[col_dict['predicted_col']].str.len() > 1]
+    om_df = om_df.explode(col_dict['predicted_col'])
+
+    msg = f'{len(multiple_keywords_df)} entries had multiple keywords of interest. Reference: {multiple_keywords_df.index} in original dataframe.'
+    print(msg)
+
+    return om_df
\ No newline at end of file
diff --git a/pvops/text/preprocess.py b/pvops/text/preprocess.py
index 7384785..3936d95 100644
--- a/pvops/text/preprocess.py
+++ b/pvops/text/preprocess.py
@@ -449,3 +449,47 @@ def text_remove_numbers_stopwords(document, lst_stopwords):
     document = " ".join(document)
 
     return document
+
+
+def get_keywords_of_interest(document_tok, reference_df, reference_col_dict):
+    """Find keywords of interest in list of strings from reference dict.
+
+    If keywords of interest given in a reference dict are in the list of
+    strings, return the keyword category, or categories. For example,
+    if the string 'inverter' is in the list of text, return ['inverter'].
+
+    Parameters
+    ----------
+    document_tok : list of str
+        Tokenized text, functionally a list of string values.
+    reference_df : DataFrame
+        Holds columns that define the reference dictionary to search for keywords of interest,
+        Note: This function can currently only handle single words, no n-gram functionality.
+    reference_col_dict : dict of {str : str}
+        A dictionary that contains the column names that describes how
+        referencing is going to be done
+
+        - reference_col_from : string, should be assigned to
+          associated column name in reference_df that are possible input reference values
+          Example: pd.Series(['inverter', 'invert', 'inv'])
+        - reference_col_to : string, should be assigned to
+          associated column name in reference_df that are the output reference values
+          of interest
+          Example: pd.Series(['inverter', 'inverter', 'inverter'])
+
+    Returns
+    -------
+    included_equipment: list of str
+        List of keywords from reference_dict found in list_of_txt, can be more than one value.
+    """
+    REFERENCE_COL_FROM = reference_col_dict["reference_col_from"]
+    REFERENCE_COL_TO = reference_col_dict["reference_col_to"]
+
+    reference_dict = dict(
+        zip(reference_df[REFERENCE_COL_FROM], reference_df[REFERENCE_COL_TO])
+    )
+
+    # keywords of interest
+    overlap_keywords = reference_dict.keys() & document_tok
+    included_keywords = list({reference_dict[x] for x in overlap_keywords})
+    return included_keywords
diff --git a/pvops/text/utils.py b/pvops/text/utils.py
index f4095c3..7f411d6 100644
--- a/pvops/text/utils.py
+++ b/pvops/text/utils.py
@@ -80,3 +80,52 @@ def remap_attributes(om_df, remapping_df, remapping_col_dict,
               "{sum(df[ATTRIBUTE_COL].isna())}")
 
     return df
+
+def remap_words_in_text(om_df, remapping_df, remapping_col_dict):
+    """A utility function which remaps a text column of om_df using columns
+       within remapping_df.
+
+    Parameters
+    ----------
+    om_df : DataFrame
+        A pandas dataframe containing O&M note data
+    remapping_df : DataFrame
+        Holds columns that define the remappings
+    remapping_col_dict : dict of {str : str}
+        A dictionary that contains the column names that describes how
+        remapping is going to be done
+
+        - data : string, should be assigned to associated
+          column name in om_df which will have its text tokenized and remapped
+        - remapping_col_from : string, should be assigned
+          to associated column name in remapping_df that matches
+          original attribute of interest in om_df
+        - remapping_col_to : string, should be assigned to
+          associated column name in remapping_df that contains the
+          final mapped entries
+
+    Returns
+    -------
+    DataFrame
+        dataframe with remapped columns populated
+    """
+    df = om_df.copy()
+    TEXT_COL = remapping_col_dict["data"]
+    REMAPPING_COL_FROM = remapping_col_dict["remapping_col_from"]
+    REMAPPING_COL_TO = remapping_col_dict["remapping_col_to"]
+
+    # drop any values where input value is equal to output value
+    remapping_df = remapping_df[remapping_df[REMAPPING_COL_FROM] != remapping_df[REMAPPING_COL_TO]]
+
+    # case-sensitive
+    remapping_df[REMAPPING_COL_FROM] = remapping_df[REMAPPING_COL_FROM].str.lower()
+    remapping_df[REMAPPING_COL_TO] = remapping_df[REMAPPING_COL_TO].str.lower()
+    df[TEXT_COL] = df[TEXT_COL].str.lower()
+
+    renamer = dict(
+        zip(remapping_df[REMAPPING_COL_FROM], remapping_df[REMAPPING_COL_TO])
+    )
+
+    df[TEXT_COL] = df[TEXT_COL].replace(renamer, regex=True)
+
+    return df
\ No newline at end of file
diff --git a/pvops/text/visualize.py b/pvops/text/visualize.py
index 062ecd5..467ed73 100644
--- a/pvops/text/visualize.py
+++ b/pvops/text/visualize.py
@@ -2,6 +2,7 @@
 import matplotlib
 import matplotlib.pyplot as plt
 import networkx as nx
+from sklearn.metrics import ConfusionMatrixDisplay
 
 # data structures
 import numpy as np
@@ -381,3 +382,46 @@ def visualize_word_frequency_plot(
     fig = plt.figure(figsize=(12, 6))
     fd.plot(30, cumulative=False, title=title, figure=fig, **graph_aargs)
     return fd
+
+
+def visualize_classification_confusion_matrix(om_df, col_dict, title=''):
+    """Visualize confusion matrix comparing known categorical values, and predicted categorical values.
+
+    Parameters
+    ----------
+    om_df : DataFrame
+        A pandas dataframe containing O&M data, which contains columns specified in om_col_dict
+    col_dict : dict of {str : str}
+        A dictionary that contains the column names needed:
+
+        - data : string, should be assigned to associated column which stores the tokenized text logs
+        - attribute_col : string, will be assigned to attribute column and used to create new attribute_col
+        - predicted_col : string, will be used to create keyword search label column
+
+    title : str
+        Optional, title of plot
+
+    Returns
+    -------
+    Matplotlib figure instance
+    """
+    act_col = col_dict['attribute_col']
+    pred_col = col_dict['predicted_col']
+
+    # drop any predicted labels with no actual labels in the data, for a cleaner visual
+    no_real_values = [cat for cat in om_df[pred_col].unique() if cat not in om_df[act_col].unique()]
+    no_real_values_mask = om_df[pred_col].isin(no_real_values)
+    om_df = om_df[~no_real_values_mask]
+    caption_txt = f'NOTE: Predicted values{no_real_values} had no actual values in the dataset.'
+
+    plt.rcParams.update({'font.size': 8})
+    cm_display = ConfusionMatrixDisplay.from_predictions(y_true=om_df[act_col],
+                                                         y_pred=om_df[pred_col],
+                                                         normalize='true',
+                                                         )
+    fig = cm_display.plot()
+    plt.xticks(rotation=90)
+    plt.tight_layout()
+    plt.figtext(0.00, 0.01, caption_txt, wrap=True, fontsize=7)
+    plt.title(title)
+    return fig
diff --git a/requirements-min.txt b/requirements-min.txt
deleted file mode 100644
index dd01359..0000000
--- a/requirements-min.txt
+++ /dev/null
@@ -1,16 +0,0 @@
-pandas
-numpy
-scipy
-scikit-learn
-nltk
-datefinder
-matplotlib
-seaborn
-plotly
-gensim
-networkx
-pvlib
-pvanalytics
-timezonefinder
-pyDOE
-tensorflow
\ No newline at end of file
diff --git a/requirements.txt b/requirements.txt
index f4e1f88..ad85068 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -16,14 +16,17 @@ timezonefinder
 pyDOE
 tensorflow
 
-# Testing / Docs
+# Testing
 pytest
-ipykernel
-nbsphinx
-nbsphinx-link
-sphinx-copybutton
-sphinxcontrib.bibtex
-nbformat
-nbconvert
-coverage
-sphinx_rtd_theme
\ No newline at end of file
+
+# Docs
+sphinx==7.2.6
+coverage==7.2.3
+ipykernel==6.22.0
+nbconvert==7.3.1
+nbformat==5.8.0
+nbsphinx==0.9.3
+nbsphinx-link==1.3.0
+sphinx-copybutton==0.5.2
+sphinxcontrib-bibtex==2.5.0
+sphinx_rtd_theme==1.3.0
\ No newline at end of file
diff --git a/setup.py b/setup.py
index 46ff2c8..fd7db51 100644
--- a/setup.py
+++ b/setup.py
@@ -1,4 +1,5 @@
-#!/usr/bin/env python
+import os
+import re
 
 try:
     from setuptools import setup, find_packages
@@ -25,7 +26,8 @@
 DISTNAME = 'pvops'
 MAINTAINER = "Thushara Gunda"
 MAINTAINER_EMAIL = 'tgunda@sandia.gov'
-LICENSE = 'Revised BSD'
+AUTHOR = 'pvOps Developers'
+LICENSE = 'BSD 3-Clause License'
 URL = 'https://github.com/sandialabs/pvops'
 
 TESTS_REQUIRE = [
@@ -52,7 +54,16 @@
 ]
 
 DOCS_REQUIRE = [
-    'sphinx == 2.2.0'
+    'sphinx==7.2.6',
+    'coverage==7.2.3',
+    'ipykernel==6.22.0',
+    'nbconvert==7.3.1',
+    'nbformat==5.8.0',
+    'nbsphinx==0.9.3',
+    'nbsphinx-link==1.3.0',
+    'sphinx-copybutton==0.5.2',
+    'sphinxcontrib-bibtex==2.5.0',
+    'sphinx_rtd_theme==1.3.0',
 ]
 
 EXTRAS_REQUIRE = {
@@ -75,6 +86,17 @@
 
 PACKAGES = find_packages(exclude=["*.tests", "*.tests.*", "tests.*", "tests"])
 
+# get version from __init__.py
+file_dir = os.path.abspath(os.path.dirname(__file__))
+with open(os.path.join(file_dir, 'pvops', '__init__.py')) as f:
+    version_file = f.read()
+    version_match = re.search(r"^__version__ = ['\"]([^'\"]*)['\"]",
+                              version_file, re.M)
+    if version_match:
+        VERSION = version_match.group(1)
+    else:
+        raise RuntimeError("Unable to find version string.")
+
 setup(
     name=DISTNAME,
     use_scm_version=True,
@@ -86,9 +108,11 @@
     ext_modules=[],
     description=DESCRIPTION,
     long_description=LONG_DESCRIPTION,
+    author=AUTHOR,
     maintainer=MAINTAINER,
     maintainer_email=MAINTAINER_EMAIL,
     license=LICENSE,
     classifiers=CLASSIFIERS,
-    url=URL
+    url=URL,
+    version=VERSION
 )
diff --git a/docs/__init__.py b/tutorials/__init__.py
similarity index 100%
rename from docs/__init__.py
rename to tutorials/__init__.py
diff --git a/tutorials/assets/diode_param_extractor.png b/tutorials/assets/diode_param_extractor.png
new file mode 100644
index 0000000..40def13
Binary files /dev/null and b/tutorials/assets/diode_param_extractor.png differ
diff --git a/examples/example_data/example_ML_ticket_data.csv b/tutorials/example_data/example_ML_ticket_data.csv
similarity index 100%
rename from examples/example_data/example_ML_ticket_data.csv
rename to tutorials/example_data/example_ML_ticket_data.csv
diff --git a/examples/example_data/example_metadata2.csv b/tutorials/example_data/example_metadata2.csv
similarity index 100%
rename from examples/example_data/example_metadata2.csv
rename to tutorials/example_data/example_metadata2.csv
diff --git a/examples/example_data/example_om_data.csv b/tutorials/example_data/example_om_data.csv
similarity index 100%
rename from examples/example_data/example_om_data.csv
rename to tutorials/example_data/example_om_data.csv
diff --git a/examples/example_data/example_om_data2.csv b/tutorials/example_data/example_om_data2.csv
similarity index 100%
rename from examples/example_data/example_om_data2.csv
rename to tutorials/example_data/example_om_data2.csv
diff --git a/examples/example_data/example_perf_data.csv b/tutorials/example_data/example_perf_data.csv
similarity index 100%
rename from examples/example_data/example_perf_data.csv
rename to tutorials/example_data/example_perf_data.csv
diff --git a/examples/example_data/example_prod_data_cumE2.csv b/tutorials/example_data/example_prod_data_cumE2.csv
similarity index 100%
rename from examples/example_data/example_prod_data_cumE2.csv
rename to tutorials/example_data/example_prod_data_cumE2.csv
diff --git a/examples/example_data/example_prod_with_covariates.csv b/tutorials/example_data/example_prod_with_covariates.csv
similarity index 100%
rename from examples/example_data/example_prod_with_covariates.csv
rename to tutorials/example_data/example_prod_with_covariates.csv
diff --git a/examples/example_data/mappings_cause.csv b/tutorials/example_data/mappings_cause.csv
similarity index 100%
rename from examples/example_data/mappings_cause.csv
rename to tutorials/example_data/mappings_cause.csv
diff --git a/tutorials/example_data/mappings_equipment.csv b/tutorials/example_data/mappings_equipment.csv
new file mode 100644
index 0000000..caed027
--- /dev/null
+++ b/tutorials/example_data/mappings_equipment.csv
@@ -0,0 +1,25 @@
+in,out_
+combiner,combiner
+comb,combiner
+cb,combiner
+battery,battery
+bess,battery
+inverter,inverter
+invert,inverter
+inv,inverter
+met,met
+meter,meter
+module,module
+mod,module
+recloser,recloser
+reclose,recloser
+relay,relay
+substation,substation
+switchgear,switchgear
+switch,switchgear
+tracker,tracker
+transformer,transformer
+xfmr,transformer
+wiring,wiring
+wire,wiring
+wires,wiring
\ No newline at end of file
diff --git a/tutorials/example_data/mappings_pv_terms.csv b/tutorials/example_data/mappings_pv_terms.csv
new file mode 100644
index 0000000..79acb06
--- /dev/null
+++ b/tutorials/example_data/mappings_pv_terms.csv
@@ -0,0 +1,20 @@
+in,out_
+comm,communication
+energy,energy
+kwh,energy
+mwh,energy
+grid,grid
+curtailment,grid
+curtail,grid
+poi,grid
+offline,outage
+solar,solar
+pv,solar
+photovoltaic,solar
+system,system
+site,system
+farm,system
+project,system
+sma,make_model
+cm,corrective_maintence
+pm,preventative_maintence
\ No newline at end of file
diff --git a/examples/example_data/remappings_asset.csv b/tutorials/example_data/remappings_asset.csv
similarity index 100%
rename from examples/example_data/remappings_asset.csv
rename to tutorials/example_data/remappings_asset.csv
diff --git a/examples/example_data/remappings_response.csv b/tutorials/example_data/remappings_response.csv
similarity index 100%
rename from examples/example_data/remappings_response.csv
rename to tutorials/example_data/remappings_response.csv
diff --git a/examples/text_class_example.py b/tutorials/text_class_example.py
similarity index 100%
rename from examples/text_class_example.py
rename to tutorials/text_class_example.py
diff --git a/examples/tutorial_AIT_timeseries.ipynb b/tutorials/tutorial_AIT_timeseries.ipynb
similarity index 100%
rename from examples/tutorial_AIT_timeseries.ipynb
rename to tutorials/tutorial_AIT_timeseries.ipynb
diff --git a/examples/tutorial_iv_classifier.ipynb b/tutorials/tutorial_iv_classifier.ipynb
similarity index 100%
rename from examples/tutorial_iv_classifier.ipynb
rename to tutorials/tutorial_iv_classifier.ipynb
diff --git a/examples/tutorial_iv_diode_extractor.ipynb b/tutorials/tutorial_iv_diode_extractor.ipynb
similarity index 99%
rename from examples/tutorial_iv_diode_extractor.ipynb
rename to tutorials/tutorial_iv_diode_extractor.ipynb
index d4cb187..fcf8e57 100644
--- a/examples/tutorial_iv_diode_extractor.ipynb
+++ b/tutorials/tutorial_iv_diode_extractor.ipynb
@@ -1,6 +1,7 @@
 {
  "cells": [
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -17,6 +18,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -435,6 +437,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -472,7 +475,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "<img src='/assets/diode_param_extractor.png'>Example: Performance of BruteForceExtractor for estimating diode parameters off many input curves</img>"
+
+    "![Example: Performance of BruteForceExtractor for estimating diode parameters off many input curves](assets/diode_param_extractor.png)\n"
+
    ]
   }
  ],
diff --git a/examples/tutorial_iv_simulator.ipynb b/tutorials/tutorial_iv_simulator.ipynb
similarity index 100%
rename from examples/tutorial_iv_simulator.ipynb
rename to tutorials/tutorial_iv_simulator.ipynb
diff --git a/examples/tutorial_text2time_module.ipynb b/tutorials/tutorial_text2time_module.ipynb
similarity index 100%
rename from examples/tutorial_text2time_module.ipynb
rename to tutorials/tutorial_text2time_module.ipynb
diff --git a/tutorials/tutorial_text_classify_regex_example.ipynb b/tutorials/tutorial_text_classify_regex_example.ipynb
new file mode 100644
index 0000000..d7c9a67
--- /dev/null
+++ b/tutorials/tutorial_text_classify_regex_example.ipynb
@@ -0,0 +1,187 @@
+{
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Adding keyword labels to O&M data\n",
+    "This notebook demonstrates the use of the `pvops.classify.get_attributes_from_keywords` module for adding asset labels based off O&M notes."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "from sklearn.metrics import accuracy_score\n",
+    "\n",
+    "from pvops.text import utils, preprocess\n",
+    "from pvops.text.classify import get_attributes_from_keywords\n",
+    "from pvops.text.visualize import visualize_classification_confusion_matrix"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Step 0: Get sample data, remap assets"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# pull in sample data and remap assets for ease of comparison\n",
+    "\n",
+    "om_df = pd.read_csv('example_data/example_ML_ticket_data.csv')\n",
+    "col_dict = {\n",
+    "    \"data\" : \"CompletionDesc\",\n",
+    "    \"eventstart\" : \"Date_EventStart\",\n",
+    "    \"save_data_column\" : \"processed_data\",\n",
+    "    \"save_date_column\" : \"processed_date\",\n",
+    "    \"attribute_col\" : \"Asset\",\n",
+    "    \"predicted_col\" : \"Keyword_Asset\",\n",
+    "    \"remapping_col_from\": \"in\",\n",
+    "    \"remapping_col_to\": \"out_\"\n",
+    "}\n",
+    "\n",
+    "# remap assets\n",
+    "remapping_df = pd.read_csv('example_data/remappings_asset.csv')\n",
+    "remapping_df['out_'] = remapping_df['out_'].replace({'met station': 'met',\n",
+    "                                                     'energy storage': 'battery',\n",
+    "                                                     'energy meter': 'meter'})\n",
+    "om_df = utils.remap_attributes(om_df, remapping_df, col_dict, allow_missing_mappings=True)\n",
+    "om_df.head()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Step 1: Text preprocessing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# preprocessing steps\n",
+    "om_df[col_dict['attribute_col']] = om_df.apply(lambda row: row[col_dict['attribute_col']].lower(), axis=1)\n",
+    "om_df = preprocess.preprocessor(om_df, lst_stopwords=[], col_dict=col_dict, print_info=False, extract_dates_only=False)\n",
+    "\n",
+    "DATA_COL = col_dict['data']\n",
+    "om_df[DATA_COL] = om_df['processed_data']\n",
+    "\n",
+    "# replace terms\n",
+    "equipment_df = pd.read_csv('~/pvOps/examples/example_data/mappings_equipment.csv')\n",
+    "pv_terms_df = pd.read_csv('~/pvOps/examples/example_data/mappings_pv_terms.csv')\n",
+    "pv_reference_df = pd.concat([equipment_df, pv_terms_df])\n",
+    "om_df = utils.remap_words_in_text(om_df=om_df, remapping_df=pv_reference_df, remapping_col_dict=col_dict)\n",
+    "\n",
+    "om_df.head()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Step 2: Search for keywords to use as labels"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# add asset labels from keyword reference dict\n",
+    "om_df = get_attributes_from_keywords(om_df=om_df,\n",
+    "                                     col_dict=col_dict,\n",
+    "                                     reference_df=equipment_df)\n",
+    "om_df.head()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Step 3: Metrics"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# get accuracy measures and count metrics\n",
+    "PREDICT_COL = col_dict['predicted_col']\n",
+    "LABEL_COL = col_dict['attribute_col']\n",
+    "\n",
+    "# entries with some keyword over interest, over all entries\n",
+    "label_count = om_df[PREDICT_COL].count() / len(om_df)\n",
+    "\n",
+    "# replace 'Other' values with 'Unknown'\n",
+    "om_df[LABEL_COL] = om_df[LABEL_COL].replace('other', 'unknown')\n",
+    "# replace NaN values to use accuracy score\n",
+    "om_df[[LABEL_COL, PREDICT_COL]] = om_df[[LABEL_COL, PREDICT_COL]].fillna('unknown')\n",
+    "acc_score = accuracy_score(y_true=om_df[LABEL_COL], y_pred=om_df[PREDICT_COL])\n",
+    "\n",
+    "msg = f'{label_count:.2%} of entries had a keyword of interest, with {acc_score:.2%} accuracy.'\n",
+    "print(msg)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Step 4: Visualization"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# plot confusion matrix\n",
+    "title = 'Confusion Matrix of Actual and Predicted Asset Labels'\n",
+    "visualize_classification_confusion_matrix(om_df, col_dict, title)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.5"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/examples/tutorial_textmodule.ipynb b/tutorials/tutorial_textmodule.ipynb
similarity index 100%
rename from examples/tutorial_textmodule.ipynb
rename to tutorials/tutorial_textmodule.ipynb
diff --git a/examples/tutorial_timeseries.ipynb b/tutorials/tutorial_timeseries.ipynb
similarity index 100%
rename from examples/tutorial_timeseries.ipynb
rename to tutorials/tutorial_timeseries.ipynb
diff --git a/examples/tutorial_timeseries_sim.ipynb b/tutorials/tutorial_timeseries_sim.ipynb
similarity index 100%
rename from examples/tutorial_timeseries_sim.ipynb
rename to tutorials/tutorial_timeseries_sim.ipynb


Test patch:
diff --git a/.github/workflows/lint-and-test.yml b/.github/workflows/lint-and-test.yml
index 4ee194d..cc4edb6 100644
--- a/.github/workflows/lint-and-test.yml
+++ b/.github/workflows/lint-and-test.yml
@@ -4,52 +4,41 @@ on: [push, pull_request]
 
 jobs:
   test:
+    runs-on: ${{ matrix.os }}
     strategy:
       matrix:
         os: [ubuntu-latest, macos-latest, windows-latest]
-        python-version: [3.7, 3.8]
-        requirements: [requirements.txt]
-        include:
-          - requirements: requirements-min.txt
-            python-version: 3.7
-            os: ubuntu-latest
-
-    runs-on: ${{ matrix.os }}
-
+        python-version: ['3.8', '3.9', '3.10', '3.11']
     steps:
     - uses: actions/checkout@v2
     - name: Set up Python ${{ matrix.python-version }}
-      uses: actions/setup-python@v1
+      uses: actions/setup-python@v4
       with:
         python-version: ${{ matrix.python-version }}
-    - name: Install dependencies in ${{ matrix.requirements }}
+    - name: Install pvops
       run: |
         python -m pip install --upgrade pip
-        pip install -r ${{ matrix.requirements }}
+        pip install .
     - name: Test with pytest
       run: |
         pip install pytest pytest-cov
         pytest --cov=pvops --cov-config=.coveragerc --cov-report term-missing pvops
 
   lint:
-
+    runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: [3.7, 3.8]
-
-    runs-on: ubuntu-latest
-
+        python-version: ['3.8', '3.9', '3.10', '3.11']
     steps:
     - uses: actions/checkout@v2
     - name: Set up Python ${{ matrix.python-version }}
-      uses: actions/setup-python@v1
+      uses: actions/setup-python@v4
       with:
         python-version: ${{ matrix.python-version }}
-    - name: Install dependencies
+    - name: Install flake8
       run: |
         python -m pip install --upgrade pip
-        pip install -r requirements.txt
+        pip install flake8
     - name: Lint with flake8
       run: |
-        pip install flake8
         flake8 . --count --statistics --show-source --ignore=E402,E203,E266,E501,W503,F403,F401,E402,W291,E302,W391,W292,F405,E722,W504,E121,E125,E712
diff --git a/pvops/tests/test_iv.py b/pvops/tests/test_iv.py
index d27513f..aa68f8d 100644
--- a/pvops/tests/test_iv.py
+++ b/pvops/tests/test_iv.py
@@ -7,7 +7,7 @@
 import pvops.iv.simulator
 from pvops.iv.models import nn
 
-datadir = os.path.join('examples', 'example_data')
+datadir = os.path.join('tutorials', 'example_data')
 example_prodpath = os.path.join(
     datadir, 'example_prod_with_covariates.csv')
 
diff --git a/pvops/tests/test_text2time.py b/pvops/tests/test_text2time.py
index c9eee51..67ad994 100755
--- a/pvops/tests/test_text2time.py
+++ b/pvops/tests/test_text2time.py
@@ -18,7 +18,7 @@
 
 
 # Define csv paths
-datadir = os.path.join('examples', 'example_data')
+datadir = os.path.join('tutorials', 'example_data')
 test_datadir = os.path.join('pvops', 'tests')
 example_OMpath = os.path.join(datadir, 'example_om_data2.csv')
 example_prodpath = os.path.join(datadir, 'example_prod_data_cumE2.csv')
diff --git a/pvops/tests/test_timeseries.py b/pvops/tests/test_timeseries.py
index ddd42b5..fe137d4 100644
--- a/pvops/tests/test_timeseries.py
+++ b/pvops/tests/test_timeseries.py
@@ -7,7 +7,7 @@
 from pvops.text2time import preprocess as t2tprep
 
 # Define csv paths
-datadir = os.path.join('examples', 'example_data')
+datadir = os.path.join('tutorials', 'example_data')
 example_OMpath = os.path.join(datadir, 'example_om_data2.csv')
 example_prodpath = os.path.join(datadir, 'example_perf_data.csv')
 example_metapath = os.path.join(datadir, 'example_metadata2.csv')