Smart Pricing for Smart Charging: A Deep Reinforcement Learning Framework for Residential EV Infrastructure

The increasing adoption of electric vehicles in residential buildings creates challenges for charging infrastructure management, particularly in pricing services to balance revenue, user satisfaction, and grid stability. Traditional pricing methods, such as fixed rates and time-of-use tariffs, canno...

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Detalhes bibliográficos

Principais autores:	Christos Pergamalis, Eleftherios Tsampasis, Panagiotis K. Gkonis, Charalambos N. Elias
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-05-01
Colecção:	Future Internet
Assuntos:	electric vehicle charging dynamic pricing reinforcement learning proximal policy optimization residential infrastructure multi-objective optimization
Acesso em linha:	https://www.mdpi.com/1999-5903/18/5/241
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