Applications of Clustering Methods for Different Aspects of Electric Vehicles

The growing penetration of electric vehicles can pose several challenges for power systems, especially distribution due to the introduction significant uncertain load. Analysis these becomes computationally expensive with higher various preferences, travel behavior, and battery size vehicles. This problem be addressed using clustering methods which have been successfully used in many other sectors. Recently, there studies published on applying aspects To summarize existing efforts provide future research directions, this contribution presents a three-step analysis. First, methods, including hard soft clustering, are discussed. Then, recent literature application different is reviewed. review concentrates four major vehicles: behavior user, driving cycle, batteries, charging stations. representative selected from each category their merits demerits summarized. Finally, gaps identified directions presented. They indicate need further impact circuits, infrastructure during emergencies, equity disparity rebate allocations, use big data cluster analysis assist transportation network management.