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Fluctuation Classification and Feature Factor Extraction to Forecast Very Short-term Photovoltaic Output Powers

Mao Yang Xiaoxuan Shen Dawei Huang Xin Su

中国电机工程学会电力与能源系统学报（英文版）2025，Vol.11Issue(2)：661-670,10.

中国电机工程学会电力与能源系统学报（英文版）2025，Vol.11Issue(2)：661-670,10.DOI:10.17775/CSEEJPES.2022.03760

Fluctuation Classification and Feature Factor Extraction to Forecast Very Short-term Photovoltaic Output Powers

Mao Yang ¹Xiaoxuan Shen ¹Dawei Huang ¹Xin Su¹

作者信息

1. Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology,Ministry of Education,Northeast Electric Power University||Jilin 132012,China
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摘要

关键词

Deep neural networks/fluctuation classification/PARAFAC/photovoltaic generation/very short-term forecasting

Key words

Deep neural networks/fluctuation classification/PARAFAC/photovoltaic generation/very short-term forecasting

引用本文复制引用

Mao Yang,Xiaoxuan Shen,Dawei Huang,Xin Su..Fluctuation Classification and Feature Factor Extraction to Forecast Very Short-term Photovoltaic Output Powers[J].中国电机工程学会电力与能源系统学报（英文版）,2025,11(2):661-670,10.

基金项目

This work was fully supported by the National Key R&D Program of China(Technology and application of wind power/photovoltaic power prediction for promoting renewable energy consumption,2018YFB0904200). （Technology and application of wind power/photovoltaic power prediction for promoting renewable energy consumption,2018YFB0904200）

中国电机工程学会电力与能源系统学报（英文版）

ISSN：2096-0042

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