PATENT CLAIM ANALYSIS

Application Number: 15963073
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["700", "191000"]

Abstract:
A method and device for modeling a long-time-scale photovoltaic output time sequence are provided. The method includes that: historical data of a photovoltaic power station is acquired, and a photovoltaic output with a time length of one year and a time resolution of 15 mins is selected ( 101 ); weather types of days corresponding to the photovoltaic output are acquired from a weather station ( 102 ), and probabilities of transfer between each type of weather are calculated respectively ( 103 ); and a simulated time sequence of the photovoltaic output within a preset time scale is generated ( 104 ), and its validity is verified ( 105 ). By the method, annual and monthly photovoltaic output simulated time sequences consistent with a random fluctuation rule of a photovoltaic time sequence may be acquired according to different requirements to provide a favorable condition and a data support for analogue simulation of time sequence production including massive new energy.

Claim (Index 15):
The non-transitory computer-readable storage medium according to  claim 14 , the method further comprises: sequentially obtaining the probabilities of transfer between the other weather types by virtue of a method for calculating the probabilities of transfer of the clear weather to the other weather types.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 91.0
- Lexical Diversity: 1.89888
- Patent Class: 700.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15588550', '13784560', '14223926', '14224018', '12777224']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4031944202502783
- 35 USC 102 Novelty (BERT): 0.4850409552183177
- Combined Prediction Score: 0.4113790737470822
- Mean Citation Score: 141.043582
- Max Citation Score: 147.96438999999995
- Similarity Product: 89.9720916254687

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