Deep Q-Learning-Based Smart Scheduling of EVs for Demand Response in Smart Grids

Economic and policy factors are driving the continuous increase in the adoption and usage of electrical vehicles (EVs). However, despite being a cleaner alternative to combustion engine vehicles, EVs have negative impacts on the lifespan of microgrid equipment and energy balance due to increased pow...

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Detalles Bibliográficos

Principais autores:	Viorica Rozina Chifu, Tudor Cioara, Cristina Bianca Pop, Horia Gabriel Rusu, Ionut Anghel
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2024-02-01
Series:	Applied Sciences
Assuntos:	deep Q-learning EV scheduling vehicle to grid demand response reinforcement learning model-free optimization
Acceso en liña:	https://www.mdpi.com/2076-3417/14/4/1421
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