Residual-corrected TSMixer with a RIME-enhanced decomposition strategy for photovoltaic power prediction

•Proposes a RIME-enhanced two-stage decomposition for deep feature extraction.•Bayesian optimization and residual correction enhance the model’s performance.•The model’s excellent balance of accuracy and efficiency is verified by experiments. To address the challenges of volatility and uncertainty i...

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Vydáno v:	Electric power systems research Ročník 253
Hlavní autoři:	Cao, Lipeng, Shao, Xing, Wang, Cuixiang, Gao, Jun
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.04.2026
Témata:	Bayesian optimization algorithm Photovoltaic power prediction Residual correction TSMixer Two-stage decomposition Two-stage decomposition Photovoltaic power prediction Bayesian optimization algorithm TSMixer Residual correction
ISSN:	0378-7796
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