Optimal EVs Charge Station Allocation Considering Residents Dispersion Using a Genetic Algorithm and Weighted K-Means

Optimal EVs Charge Station Allocation Considering Residents Dispersion Using a Genetic Algorithm and Weighted K-Means

In this work, an innovative methodology for the strategic placement of electric vehicle (EV) charging stations is presented, considering both population density and proximity to the stations, in order to optimize accessibility. This approach synergistic leverages the advantages of genetic algorithms...

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Bibliographic Details
Main Authors: Rafael Monteagudo, Edgardo D. Castronuovo, Ramon Barber
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Genetic algorithms
weighted K-means clustering
EV charging stations placement
optimization
Online Access:https://ieeexplore.ieee.org/document/10798449/
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