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

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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Bibliographic Details
Main Authors: Viorica Rozina Chifu, Tudor Cioara, Cristina Bianca Pop, Horia Gabriel Rusu, Ionut Anghel
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Applied Sciences
Subjects:
deep Q-learning
EV scheduling
vehicle to grid
demand response
reinforcement learning
model-free optimization
Online Access:https://www.mdpi.com/2076-3417/14/4/1421

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https://www.mdpi.com/2076-3417/14/4/1421

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