M. Hadi AminiPaul Mc NamaraPaul WengOrkun KarabasogluYinliang XuWeng, PaulXu, YinliangAmini, M. HadiMcNamara, PaulKarabasoglu, Orkun2025-10-062018216823562168-23562168-236410.1109/MDAT.2017.27595052-s2.0-85030760080https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030760080&doi=10.1109%2FMDAT.2017.2759505&partnerID=40&md5=3ad0883ddfc673077fe670b815681e75https://gcris.yasar.edu.tr/handle/123456789/9507https://doi.org/10.1109/MDAT.2017.2759505This article focuses on reducing a charging cost for electric vehicles (EVs). A charging strategy is proposed to minimize the charging cost of EVs within the charging station constraints. © 2018 Elsevier B.V. All rights reserved.Englishinfo:eu-repo/semantics/closedAccessDantzig-wolfe Decomposition, Electric Vehicle Charging Aggregator, Electric Vehicles, Hierarchical Optimziation, Hierarchical Scheduling, Linear Programming, Costs, Electric Vehicles, Iterative Methods, Linear Programming, Optimization, Scheduling, Charging Station, Dantzig-wolfe Decomposition, Electric Vehicle Charging, Hierarchical Optimziation, Hierarchical Scheduling, State Of Charge, Charging (batteries)Costs, Electric vehicles, Iterative methods, Linear programming, Optimization, Scheduling, Charging station, Dantzig-wolfe decomposition, Electric vehicle charging, Hierarchical optimziation, Hierarchical scheduling, State of charge, Charging (batteries)Dantzig-Wolfe DecompositionLinear ProgrammingHierarchical SchedulingElectric VehiclesElectric Vehicle Charging AggregatorHierarchical OptimziationArticle