The Neural Network Classifier Works Efficiently on Searching in DQN Using the Autonomous Internet of Things Hybridized by the Metaheuristic Techniques to Reduce the EVs’ Service Scheduling Time

The Neural Network Classifier Works Efficiently on Searching in DQN Using the Autonomous Internet of Things Hybridized by the Metaheuristic Techniques to Reduce the EVs’ Service Scheduling Time

Since the rules and regulations strongly emphasize environmental preservation and greenhouse gas GHG reduction, researchers have progressively noticed a shift in the transportation means toward electromobility. Several challenges must be resolved to deploy EVs, beginning with improving network acces...

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Bibliographic Details
Main Authors: Ahmed M. Abed, Ali AlArjani
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Energies
Subjects:
location-based scheduling
EV charging station
intelligent transport system
EV charging navigation system
Markov decision process
deep reinforcement learning DQN
Online Access:https://www.mdpi.com/1996-1073/15/19/6992

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https://www.mdpi.com/1996-1073/15/19/6992

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