Long-Term Optimal Scheduling of Cascade Hydro–Wind–PV Complementary System Based on Deep Deterministic Policy Gradient

Runoff, wind power output, and photovoltaic (PV) power output in cascade hydro–wind–PV complementary systems are inherently uncertain, making long-term scheduling a high-dimensional continuous-control decision-making problem. To address this issue, this study proposes a long-term optimal scheduling...

Descripció completa

Dades bibliogràfiques

Autors principals:	Wenwu Li, Mu He, Zixing Wan, Fengming Dai, Taotao Zhang, Yuhao Jiang
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2026-05-01
Col·lecció:	Applied Sciences
Matèries:	cascade hydro–wind–PV complementary system renewable energy accommodation DDPG deep reinforcement learning optimal scheduling
Accés en línia:	https://www.mdpi.com/2076-3417/16/10/4630
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!