Energy management system scheduling optimization based on an improved generative adversarial network deep reinforcement learning algorithm

Households, as electricity consumers, play a critical role in achieving the carbon peak and carbon neutrality goals. The development of smart grids provides technical support for the efficient integration and distribution of renewable energy, gradually extending to household users. This has led to h...

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Veröffentlicht in:	Engineering applications of artificial intelligence Jg. 161; S. 112129
Hauptverfasser:	Chao, Weipeng, Shi, Yuanbo, Li, Yushuai, Liu, Meng, Leng, Xiaoling
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.12.2025
Schlagworte:	Deep reinforcement learning algorithm Energy management system Energy system efficiency improvement Energy uncertainty management Generative adversarial network Renewable energy Deep reinforcement learning algorithm Energy system efficiency improvement Renewable energy Energy management system Energy uncertainty management Generative adversarial network
ISSN:	0952-1976
Online-Zugang:	Volltext
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