PATENT CLAIM ANALYSIS

Application Number: 16109958
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-06
Patent Classification: ["700", "295000"]

Abstract:
A method comprises generating power at a solar photovoltaic cell; receiving, at a controller, one or more input parameters pertaining to a power output of the solar photovoltaic cell; introducing liquid to the solar photovoltaic cell in response to the power output of the solar photovoltaic cell to increase the efficiency of the solar photovoltaic cell; recovering heat from the liquid introduced to the solar photovoltaic cell; and selecting an appropriate distribution of the power output of the solar photovoltaic cell to one or more power-drawing components in a way that maximizes a chosen objective for the whole of system.

Claim (Index 8):
The system of  claim 7 , wherein the computer is configured to use machine-learning to improve an accuracy of the predicted energy consumption pattern.

Metadata:
- Claim Count in Document: 39.0
- Percentile: 96.0
- Lexical Diversity: 2.14
- Patent Class: 700.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15222121', '15247869', '14224018', '14724276', '12243431']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4010001393224373
- 35 USC 102 Novelty (BERT): 0.5259858177640603
- Combined Prediction Score: 0.4134987071665996
- Mean Citation Score: 232.06524600000003
- Max Citation Score: 326.4924
- Similarity Product: 201.84396659045217

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test