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 19):
The device according to  claim 12 , wherein the evaluation unit is further configured to:\n define the PDF C f , short-duration fluctuation characteristic C d  and ACF C r  of the simulated time sequence respectively; and adopt a Root-Mean-Square Error (RMSE) of each characteristic to quantitatively evaluate the validity of the time sequence, an expression being: RMSE = 1 n \u00b7 \u2211 i = 1 n \ue89e ( i - y i ) , where  i \u2208[C f ,C d ,C r ], \u0177 i  is a unit vector and represents a function value of each characteristic of the simulated time sequence, y i  represents a function value of each characteristic, corresponding to each characteristic of the simulated time sequence, of a historical time sequence, n is a length of a function value set of each characteristic of the time sequence, RMSE is smaller than \u03f5 with a value range of 0.1\u02dc0.2.

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): 0.4070679232313938
- 35 USC 102 Novelty (BERT): 0.4700833490606154
- Combined Prediction Score: 0.413369465814316
- Mean Citation Score: 141.043582
- Max Citation Score: 147.96438999999995
- Similarity Product: 102.71935471745488

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