Multi-Agent DDPG-Based Multi-Device Charging Scheduling for IIoT Smart Grids

As electric vehicles (EVs) gain widespread adoption in industrial environments supported by Industrial Internet of Things (IIoT) smart grids technology, coordinated charging of multiple EVs has become vital for maintaining grid stability. In response to the scalability challenges faced by traditiona...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 25; H. 17; S. 5226
Hauptverfasser:	Zeng, Haiyong, Huang, Yuanyan, Zhan, Kaijie, Yu, Zichao, Zhu, Hongyan, Li, Fangyan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 22.08.2025
Schlagworte:	Algorithms Communication cost optimization management Data exchange Decision making deep reinforcement learning electric vehicle charging scheduling Electric vehicles Electricity Energy consumption Energy management Industrial Internet of Things Infrastructure Integrated approach Optimization Prices and rates Scheduling Sensors Smart grid technology smart grids smart sensors Systems stability Time management electric vehicle charging scheduling smart grids deep reinforcement learning industrial internet of things cost optimization management smart sensors
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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