Edoardo Fadda, Daniele Manerba, R. Tadei, P. Camurati, G. Cabodi
{"title":"KPIs for Optimal Location of charging stations for Electric Vehicles: the Biella case-study","authors":"Edoardo Fadda, Daniele Manerba, R. Tadei, P. Camurati, G. Cabodi","doi":"10.15439/2019F171","DOIUrl":null,"url":null,"abstract":"Electric vehicles are accelerating the world’s transition to sustainable energy. Nevertheless, the lack of a proper charging station infrastructure in many real implementations still represents an obstacle for the spread of such a technology. In this paper, we present a real case application of optimization techniques ques in order to solve the location problem of electric charging stations in the district of Biella, Italy. The plan is composed by several progressive installations and decision makers pursue several objectives that might be in contrast. For this reason, we present an imiovative framework based on the comparison of several ad-hoc Key Performance Indicators for evaluating many different aspects of a location solution.","PeriodicalId":168208,"journal":{"name":"2019 Federated Conference on Computer Science and Information Systems (FedCSIS)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Federated Conference on Computer Science and Information Systems (FedCSIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15439/2019F171","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Electric vehicles are accelerating the world’s transition to sustainable energy. Nevertheless, the lack of a proper charging station infrastructure in many real implementations still represents an obstacle for the spread of such a technology. In this paper, we present a real case application of optimization techniques ques in order to solve the location problem of electric charging stations in the district of Biella, Italy. The plan is composed by several progressive installations and decision makers pursue several objectives that might be in contrast. For this reason, we present an imiovative framework based on the comparison of several ad-hoc Key Performance Indicators for evaluating many different aspects of a location solution.