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Hybrid genetic algorithm-simulated annealing based electric vehicle charging station placement for optimizing distribution network resilience
Rapid placement of electric vehicle charging stations (EVCSs) is essential for the
transportation industry in response to the growing electric vehicle (EV) fleet. The widespread …
transportation industry in response to the growing electric vehicle (EV) fleet. The widespread …
Sustainable power management in light electric vehicles with hybrid energy storage and machine learning control
This paper presents a cutting-edge Sustainable Power Management System for Light
Electric Vehicles (LEVs) using a Hybrid Energy Storage Solution (HESS) integrated with …
Electric Vehicles (LEVs) using a Hybrid Energy Storage Solution (HESS) integrated with …
Multi-objective energy management in a renewable and EV-integrated microgrid using an iterative map-based self-adaptive crystal structure algorithm
The use of plug-in hybrid electric vehicles (PHEVs) provides a way to address energy and
environmental issues. Integrating a large number of PHEVs with advanced control and …
environmental issues. Integrating a large number of PHEVs with advanced control and …
Enhancing EV charging predictions: a comprehensive analysis using K-nearest neighbours and ensemble stack generalization
Abstract Ensemble Stacking Generalization has emerged as a viable method for forecasting
Electric Vehicle (EV) charging behaviour. This method uses a variety of machine learning …
Electric Vehicle (EV) charging behaviour. This method uses a variety of machine learning …
A novel approach for optimal deployment of plug-in electric vehicles with integrated renewable energy sources
The electrification of transportation significantly impacts the dynamics of distribution
networks (DNs), necessitating a strategic approach to deploying plug-in electric vehicle …
networks (DNs), necessitating a strategic approach to deploying plug-in electric vehicle …