Short-term output prediction of wind-photovoltaic power based on time-frequency decomposition

This paper proposes a short-term wind and photovoltaic power forecasting framework considering time-frequency decomposition based on bidirectional long short-term memory networks. First, the seasonal and trend decomposition using loess is applied to the original wind and photovoltaic data for time d...

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書誌詳細

出版年:	Frontiers in Energy Research
主要な著者:	Yangfan Zhang, Xuejiao Fu, Yaohan Wang, Zhengyu Wang, Xiaoxiao Wang
フォーマット:	論文
言語:	英語
出版事項:	Frontiers Media S.A. 2025-01-01
主題:	time-frequency decomposition BiLSTM Wind-PV power forecasting maximum information coefficient variational mode decomposition
オンライン･アクセス:	https://www.frontiersin.org/articles/10.3389/fenrg.2024.1477657/full