PATENT CLAIM ANALYSIS

Application Number: 15877167
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["307", "049000"]

Abstract:
The present invention is an apparatus and method of forecasting solar energy irradiance potential and subsequent photovoltaic output in a region. The apparatus and method includes collecting meteorological data for a given region and then estimating irradiance levels using parameters collected from the meteorological data. Solar energy production is then simulated using the collected meteorological data, estimated irradiance levels, and physical characteristics of a solar generating system in the given region at a predetermined time.

Claim (Index 13):
An apparatus for forecasting solar energy irradiance potential and subsequent photovoltaic output in a region, the apparatus comprising:\n an image sensor for collecting meteorological data for the region; a neural network coupled to the image sensor for estimating irradiance levels using parameters collected from the meteorological data, wherein the neural network forecasts solar energy irradiance potential and subsequent photovoltaic output in the region using the collected meteorological data, estimated irradiance levels, and physical characteristics of a solar generating system in the region at one or more times in the future; wherein the neural network simulates future solar energy production; and a utility system coupled to the neural network, wherein energy requirements of the utility system are adjusted based on the simulated future solar energy production determined by the neural network.

Metadata:
- Claim Count in Document: 56.0
- Percentile: 86.0
- Lexical Diversity: 1.70213
- Patent Class: 307.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14053273', '14403865', '10922253', '13960966', '14724276']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7652107268002062
- 35 USC 102 Novelty (BERT): 0.4776795406323235
- Combined Prediction Score: 0.7364576081834179
- Mean Citation Score: 186.26926
- Max Citation Score: 220.13908
- Similarity Product: 183.7790987348104

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