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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Bibliographic Details

Published in:	Electric power systems research Vol. 253
Main Authors:	Cao, Lipeng, Shao, Xing, Wang, Cuixiang, Gao, Jun
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.04.2026
Subjects:	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
Online Access:	Get full text
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