Day-ahead optimal scheduling of large-scale renewable energy bases based on rime optimization algorithm

The integration of large-scale renewable energy (RE) poses complex challenges for day-ahead scheduling, characterized by high-dimensional, nonlinear, and tightly constrained optimization problems. Traditional optimization methods often fail to efficiently handle such complexity, leading to suboptima...

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Auteurs principaux:	Huang Zeyi, Li Xiayang, Zhou Hang, Lu Bo, Xu Dongsheng
Format:	Artigo
Langue:	Inglês
Publié:	Frontiers Media S.A. 2026-03-01
Collection:	Frontiers in Energy Research
Sujets:	AI mixed-integer nonlinear programming multi-energy systems renewable energy integration rime optimization algorithm smart grid scheduling
Accès en ligne:	https://www.frontiersin.org/articles/10.3389/fenrg.2026.1729191/full
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