Short-term power forecasting of fishing-solar complementary photovoltaic power station based on a data-driven model

Short-term power forecasting of fishing-solar complementary photovoltaic power station based on a data-driven model

A data-driven short-term power generation forecasting model has been proposed to address the problems of information redundancy and low forecasting accuracy for the previous model. Pearson correlation coefficient (PCC) was used to select the effective variables affecting photovoltaic (PV) power gene...

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Bibliographic Details
Main Authors: Jiahui Wang, Qianxi Zhang, Shishi Li, Xinxiang Pan, Kang Chen, Cheng Zhang, Zheng Wang, Mingsheng Jia
Format: Article
Language:English
Published: Elsevier 2023-11-01
Series:Energy Reports
Subjects:
Short-term PV forecasting
Pearson correlation coefficient
Principal component analysis
Singular value decomposition
Sine-SSA-BP
K-fold cross validation
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484723011812

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http://www.sciencedirect.com/science/article/pii/S2352484723011812

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