cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3707577
title: uGIM: a week with peer-to-peer transactions (02/03/2020 - 08/03/2020)

description: uGIM is a microgrid intelligent management software that can represent individual microgrid’s players using a multi-agent approach. This dataset has data regarding a week (from 02-03-2020 to 08-03-2020) of a microgrid with five players (all offices). All agents have consumption and generation data and are able to participate in peer-to-peer transactions using an auction model. The dataset presents the data regarding: energy values (consumption and generation); energy forecasting (consumption and generation); auction participations; and peer-to-peer transactions. The transactions are analysed and classified by type: best choice; wrong sale; wrong purchase; sold too much; and bought too much.

All five agents are able to sell energy from the peer-to-peer auction. However, only four can buy energy: L.1; L.2; L.3; and R.2. Agent Z.0 is configured only to sell energy. All agents have photovoltaic generation where L.1, L.2, L.3; and R.2 have 1 kW each and Z.0 has 6 kW.

In uGIM, agents are deployed in the player’s facilities using single-board computers. All the data in this dataset is read and stored in five single-board computers. Each agent integrates several resources. In this microgrid deployment, all resources use TCP/IP communication. However, uGIM supports more protocols, such as Modbus/RTU and Modbus/TCP.

uGIM related publications: - Gomes, L., Vale, Z., & Corchado, J. M. (2020). Microgrid management system based on a multi-agent approach: An office building pilot. Measurement: Journal of the International Measurement Confederation, 154. https://doi.org/10.1016/j.measurement.2019.107427 - Gomes, L., Vale, Z. A., & Corchado, J. M. (2020). Multi-Agent Microgrid Management System for Single-Board Computers: A Case Study on Peer-to-Peer Energy Trading. IEEE Access, 8, 64169–64183. https://doi.org/10.1109/ACCESS.2020.2985254 - Gomes, L. (2020). μGIM - Microgrid intelligen management system based on a multi-agent approach and the active participation of end-users [Universidad de Salamanca]. https://doi.org/10.14201/gredos.144238 - Gomes, L., Spínola, J., Vale, Z., & Corchado, J. M. (2019). Agent-based architecture for demand side management using real-time resources’ priorities and a deterministic optimization algorithm. Journal of Cleaner Production, 241, 118154. https://doi.org/10.1016/j.jclepro.2019.118154

 

(if you used this dataset in your publications, please send us your information so we can add your publication to the list above)

 

We would be grateful if you could acknowledge the use of this dataset in your publications. Please use the Zenodo publication to cite this work.
DOI: 10.5281/zenodo.3707578
title: uGIM: a week with peer-to-peer transactions (02/03/2020 - 08/03/2020)

description: uGIM is a microgrid intelligent management software that can represent individual microgrid’s players using a multi-agent approach. This dataset has data regarding a week (from 02-03-2020 to 08-03-2020) of a microgrid with five players (all offices). All agents have consumption and generation data and are able to participate in peer-to-peer transactions using an auction model. The dataset presents the data regarding: energy values (consumption and generation); energy forecasting (consumption and generation); auction participations; and peer-to-peer transactions. The transactions are analysed and classified by type: best choice; wrong sale; wrong purchase; sold too much; and bought too much.

All five agents are able to sell energy from the peer-to-peer auction. However, only four can buy energy: L.1; L.2; L.3; and R.2. Agent Z.0 is configured only to sell energy. All agents have photovoltaic generation where L.1, L.2, L.3; and R.2 have 1 kW each and Z.0 has 6 kW.

In uGIM, agents are deployed in the player’s facilities using single-board computers. All the data in this dataset is read and stored in five single-board computers. Each agent integrates several resources. In this microgrid deployment, all resources use TCP/IP communication. However, uGIM supports more protocols, such as Modbus/RTU and Modbus/TCP.

uGIM related publications: - Gomes, L., Vale, Z., & Corchado, J. M. (2020). Microgrid management system based on a multi-agent approach: An office building pilot. Measurement: Journal of the International Measurement Confederation, 154. https://doi.org/10.1016/j.measurement.2019.107427 - Gomes, L., Vale, Z. A., & Corchado, J. M. (2020). Multi-Agent Microgrid Management System for Single-Board Computers: A Case Study on Peer-to-Peer Energy Trading. IEEE Access, 8, 64169–64183. https://doi.org/10.1109/ACCESS.2020.2985254 - Gomes, L. (2020). μGIM - Microgrid intelligen management system based on a multi-agent approach and the active participation of end-users [Universidad de Salamanca]. https://doi.org/10.14201/gredos.144238 - Gomes, L., Spínola, J., Vale, Z., & Corchado, J. M. (2019). Agent-based architecture for demand side management using real-time resources’ priorities and a deterministic optimization algorithm. Journal of Cleaner Production, 241, 118154. https://doi.org/10.1016/j.jclepro.2019.118154

 

(if you used this dataset in your publications, please send us your information so we can add your publication to the list above)

 

We would be grateful if you could acknowledge the use of this dataset in your publications. Please use the Zenodo publication to cite this work.
DOI: 10.15468/dl.xyqexr
title: Occurrence Download

description: A dataset containing 313 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plumbago aphylla Bojer ex Boiss."
 ]
}

 The dataset includes 313 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076854-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tqbzjz
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polygala latouchei Franch."
 ]
}

 The dataset includes 65 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076852-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.3371193
title: uGIM: week monitorization data of a microgrid with five agents (04/08/2019 - 10/08/2019)

description: uGIM is a microgrid intelligent management software that can represent individual microgrid’s players using a multi-agent approach. This dataset has data regarding a week (from 04-08-2019 to 10-08-2019) of a microgrid with five players (all offices). All agents have consumption and generation data. One of the agents also has sensor data, such as temperature, movement and humidity.

In uGIM, agents are deployed in the player’s facilities using single-board computers. All the data in this dataset is read and stored in five single-board computers. Each agent integrates several resources. In this microgrid deployment, all resources use TCP/IP communication. However, uGIM supports more protocols, such as Modbus/RTU, and Modbus/TCP.

uGIM related publications: - Gomes, L., Vale, Z., & Corchado, J. M. (2020). Microgrid management system based on a multi-agent approach: An office building pilot. Measurement: Journal of the International Measurement Confederation, 154. https://doi.org/10.1016/j.measurement.2019.107427 - Gomes, L., Vale, Z. A., & Corchado, J. M. (2020). Multi-Agent Microgrid Management System for Single-Board Computers: A Case Study on Peer-to-Peer Energy Trading. IEEE Access, 8, 64169–64183. https://doi.org/10.1109/ACCESS.2020.2985254 - Gomes, L. (2020). μGIM - Microgrid intelligen management system based on a multi-agent approach and the active participation of end-users [Universidad de Salamanca]. https://doi.org/10.14201/gredos.144238 - Gomes, L., Spínola, J., Vale, Z., & Corchado, J. M. (2019). Agent-based architecture for demand side management using real-time resources’ priorities and a deterministic optimization algorithm. Journal of Cleaner Production, 241, 118154. https://doi.org/10.1016/j.jclepro.2019.118154

 

(if you used this dataset in your publications, please send us your information so we can add your publication to the list above)

 

We would be grateful if you could acknowledge the use of this dataset in your publications. Please use the Zenodo publication to cite this work.
description: The present work has received funding from National Funds through FCT under the project UID/EEA/00760/2019 and SFRH/BD/109248/2015.
DOI: 10.5281/zenodo.3371339
title: uGIM: week monitorization data of a microgrid with five agents (04/08/2019 - 10/08/2019)

description: uGIM is a microgrid intelligent management software that can represent individual microgrid’s players using a multi-agent approach. This dataset has data regarding a week (from 04-08-2019 to 10-08-2019) of a microgrid with five players (all offices). All agents have consumption and generation data. One of the agents also has sensor data, such as temperature, movement and humidity.

In uGIM, agents are deployed in the player’s facilities using single-board computers. All the data in this dataset is read and stored in five single-board computers. Each agent integrates several resources. In this microgrid deployment, all resources use TCP/IP communication. However, uGIM supports more protocols, such as Modbus/RTU, and Modbus/TCP.

uGIM related publications: - Gomes, L., Vale, Z., & Corchado, J. M. (2020). Microgrid management system based on a multi-agent approach: An office building pilot. Measurement: Journal of the International Measurement Confederation, 154. https://doi.org/10.1016/j.measurement.2019.107427 - Gomes, L., Vale, Z. A., & Corchado, J. M. (2020). Multi-Agent Microgrid Management System for Single-Board Computers: A Case Study on Peer-to-Peer Energy Trading. IEEE Access, 8, 64169–64183. https://doi.org/10.1109/ACCESS.2020.2985254 - Gomes, L. (2020). μGIM - Microgrid intelligen management system based on a multi-agent approach and the active participation of end-users [Universidad de Salamanca]. https://doi.org/10.14201/gredos.144238 - Gomes, L., Spínola, J., Vale, Z., & Corchado, J. M. (2019). Agent-based architecture for demand side management using real-time resources’ priorities and a deterministic optimization algorithm. Journal of Cleaner Production, 241, 118154. https://doi.org/10.1016/j.jclepro.2019.118154

 

(if you used this dataset in your publications, please send us your information so we can add your publication to the list above)

 

We would be grateful if you could acknowledge the use of this dataset in your publications. Please use the Zenodo publication to cite this work.
description: The present work has received funding from National Funds through FCT under the project UID/EEA/00760/2019 and SFRH/BD/109248/2015.
DOI: 10.15468/dl.7acpzk
title: Occurrence Download

description: A dataset containing 131 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Platanthera angustata (Blume) Lindl."
 ]
}

 The dataset includes 131 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076853-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kn2w5x
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinanga hymenospatha Hook.f."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076855-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.twefnn
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phymaspermum peglerae (Hutch.) Källersjö"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076856-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.skkacg
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phreatia iridifolia Schltr."
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076857-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.3371221
title: uGIM: a week with peer-to-peer transactions (03/06/2019 - 09/06/2019)

description: uGIM is a microgrid intelligent management software that can represent individual microgrid’s players using a multi-agent approach. This dataset has data regarding a week (from 03-06-2019 to 09-06-2019) of a microgrid with five players (all offices). All agents have consumption and generation data and are able to participate in peer-to-peer transactions using an auction model. The dataset presents the data regarding: energy values (consumption and generation); energy forecasting (consumption and generation); auction participations; and peer-to-peer transactions. The transactions are analysed and classified by type: best choice; wrong sale; wrong purchase; sold too much; and bought too much.

All five agents are able to sell energy from the peer-to-peer auction. However, only four can buy energy: L.1; L.2; L.3; and R.2. Agent Z.0 is configured only to sell energy. All agents have photovoltaic generation where L.1, L.2, L.3; and R.2 have 1 kW each and Z.0 has 6 kW.

In uGIM, agents are deployed in the player’s facilities using single-board computers. All the data in this dataset is read and stored in five single-board computers. Each agent integrates several resources. In this microgrid deployment, all resources use TCP/IP communication. However, uGIM supports more protocols, such as Modbus/RTU and Modbus/TCP.

uGIM related publications: - Gomes, L., Vale, Z., & Corchado, J. M. (2020). Microgrid management system based on a multi-agent approach: An office building pilot. Measurement: Journal of the International Measurement Confederation, 154. https://doi.org/10.1016/j.measurement.2019.107427 - Gomes, L., Vale, Z. A., & Corchado, J. M. (2020). Multi-Agent Microgrid Management System for Single-Board Computers: A Case Study on Peer-to-Peer Energy Trading. IEEE Access, 8, 64169–64183. https://doi.org/10.1109/ACCESS.2020.2985254 - Gomes, L. (2020). μGIM - Microgrid intelligen management system based on a multi-agent approach and the active participation of end-users [Universidad de Salamanca]. https://doi.org/10.14201/gredos.144238 - Gomes, L., Spínola, J., Vale, Z., & Corchado, J. M. (2019). Agent-based architecture for demand side management using real-time resources’ priorities and a deterministic optimization algorithm. Journal of Cleaner Production, 241, 118154. https://doi.org/10.1016/j.jclepro.2019.118154

 

(if you used this dataset in your publications, please send us your information so we can add your publication to the list above)

 

We would be grateful if you could acknowledge the use of this dataset in your publications. Please use the Zenodo publication to cite this work.
description: The present work has received funding from National Funds through FCT under the project UID/EEA/00760/2019 and SFRH/BD/109248/2015
DOI: 10.5281/zenodo.3371222
title: uGIM: a week with peer-to-peer transactions (03/06/2019 - 09/06/2019)

description: uGIM is a microgrid intelligent management software that can represent individual microgrid’s players using a multi-agent approach. This dataset has data regarding a week (from 03-06-2019 to 09-06-2019) of a microgrid with five players (all offices). All agents have consumption and generation data and are able to participate in peer-to-peer transactions using an auction model. The dataset presents the data regarding: energy values (consumption and generation); energy forecasting (consumption and generation); auction participations; and peer-to-peer transactions. The transactions are analysed and classified by type: best choice; wrong sale; wrong purchase; sold too much; and bought too much.

All five agents are able to sell energy from the peer-to-peer auction. However, only four can buy energy: L.1; L.2; L.3; and R.2. Agent Z.0 is configured only to sell energy. All agents have photovoltaic generation where L.1, L.2, L.3; and R.2 have 1 kW each and Z.0 has 6 kW.

In uGIM, agents are deployed in the player’s facilities using single-board computers. All the data in this dataset is read and stored in five single-board computers. Each agent integrates several resources. In this microgrid deployment, all resources use TCP/IP communication. However, uGIM supports more protocols, such as Modbus/RTU and Modbus/TCP.

uGIM related publications: - Gomes, L., Vale, Z., & Corchado, J. M. (2020). Microgrid management system based on a multi-agent approach: An office building pilot. Measurement: Journal of the International Measurement Confederation, 154. https://doi.org/10.1016/j.measurement.2019.107427 - Gomes, L., Vale, Z. A., & Corchado, J. M. (2020). Multi-Agent Microgrid Management System for Single-Board Computers: A Case Study on Peer-to-Peer Energy Trading. IEEE Access, 8, 64169–64183. https://doi.org/10.1109/ACCESS.2020.2985254 - Gomes, L. (2020). μGIM - Microgrid intelligen management system based on a multi-agent approach and the active participation of end-users [Universidad de Salamanca]. https://doi.org/10.14201/gredos.144238 - Gomes, L., Spínola, J., Vale, Z., & Corchado, J. M. (2019). Agent-based architecture for demand side management using real-time resources’ priorities and a deterministic optimization algorithm. Journal of Cleaner Production, 241, 118154. https://doi.org/10.1016/j.jclepro.2019.118154

 

(if you used this dataset in your publications, please send us your information so we can add your publication to the list above)

 

We would be grateful if you could acknowledge the use of this dataset in your publications. Please use the Zenodo publication to cite this work.
description: The present work has received funding from National Funds through FCT under the project UID/EEA/00760/2019 and SFRH/BD/109248/2015
DOI: 10.5281/zenodo.3237235
title: Dataset of uGIM deployed in an office building

description: A dataset of sensor and energy data collected from uGIM system in an office building located in Portugal.

The dataset has a total of three days (24 hour records for each 10 seconds):

 - summer day

 - winter day

 - cloudy day

 

uGIM related publications: - Gomes, L., Vale, Z., & Corchado, J. M. (2020). Microgrid management system based on a multi-agent approach: An office building pilot. Measurement: Journal of the International Measurement Confederation, 154. https://doi.org/10.1016/j.measurement.2019.107427 - Gomes, L., Vale, Z. A., & Corchado, J. M. (2020). Multi-Agent Microgrid Management System for Single-Board Computers: A Case Study on Peer-to-Peer Energy Trading. IEEE Access, 8, 64169–64183. https://doi.org/10.1109/ACCESS.2020.2985254 - Gomes, L. (2020). μGIM - Microgrid intelligen management system based on a multi-agent approach and the active participation of end-users [Universidad de Salamanca]. https://doi.org/10.14201/gredos.144238 - Gomes, L., Spínola, J., Vale, Z., & Corchado, J. M. (2019). Agent-based architecture for demand side management using real-time resources’ priorities and a deterministic optimization algorithm. Journal of Cleaner Production, 241, 118154. https://doi.org/10.1016/j.jclepro.2019.118154

 

(if you used this dataset in your publications, please send us your information so we can add your publication to the list above)

 

We would be grateful if you could acknowledge the use of this dataset in your publications. Please use the Zenodo publication to cite this work.
description: The present work has received funding from National Funds through FCT under the project UID/EEA/00760/2019 and SFRH/BD/109248/2015
DOI: 10.5281/zenodo.2565288
title: Dataset of uGIM deployed in an office building

description: A dataset of sensor and energy data collected from uGIM system in an office building located in Portugal.

The dataset has a total of three days (24 hour records for each 10 seconds):

 - summer day

 - winter day

 - cloudy day

 

uGIM related publications: - Gomes, L., Vale, Z., & Corchado, J. M. (2020). Microgrid management system based on a multi-agent approach: An office building pilot. Measurement: Journal of the International Measurement Confederation, 154. https://doi.org/10.1016/j.measurement.2019.107427 - Gomes, L., Vale, Z. A., & Corchado, J. M. (2020). Multi-Agent Microgrid Management System for Single-Board Computers: A Case Study on Peer-to-Peer Energy Trading. IEEE Access, 8, 64169–64183. https://doi.org/10.1109/ACCESS.2020.2985254 - Gomes, L. (2020). μGIM - Microgrid intelligen management system based on a multi-agent approach and the active participation of end-users [Universidad de Salamanca]. https://doi.org/10.14201/gredos.144238 - Gomes, L., Spínola, J., Vale, Z., & Corchado, J. M. (2019). Agent-based architecture for demand side management using real-time resources’ priorities and a deterministic optimization algorithm. Journal of Cleaner Production, 241, 118154. https://doi.org/10.1016/j.jclepro.2019.118154

 

(if you used this dataset in your publications, please send us your information so we can add your publication to the list above)

 

We would be grateful if you could acknowledge the use of this dataset in your publications. Please use the Zenodo publication to cite this work.
description: The present work has received funding from National Funds through FCT under the project UID/EEA/00760/2019 and SFRH/BD/109248/2015