Multi-Time-Scale Optimal Scheduling Strategy for Marine Renewable Energy Based on Deep Reinforcement Learning Algorithm

Surrounded by the Shandong Peninsula, the Bohai Sea and Yellow Sea possess vast marine energy resources. An analysis of actual meteorological data from these regions indicates significant seasonality and intra-day uncertainty in wind and photovoltaic power generation. The challenge of scheduling to...

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Библиографические подробности

Главные авторы:	Ren Xu, Fei Lin, Wenyi Shao, Haoran Wang, Fanping Meng, Jun Li
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2024-04-01
Серии:	Entropy
Предметы:	deep reinforcement learning energy scheduling energy forecast entropy value multi-energy complementarity
Online-ссылка:	https://www.mdpi.com/1099-4300/26/4/331
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