Electric vehicles are accelerating the world transition to sustainableenergy. Nevertheless, the lack of a proper charging station infrastructure inmany real implementations still represents an obstacle for the spread of sucha technology. In this paper, we present a real-case application of optimizationtechniques in order to solve the location problem of electric charging stationsin the district of Biella, Italy. The plan is composed by several progressiveinstallations and the decision makers pursue several objectives that mightconflict each other. For this reason, we present an innovative framework basedon the comparison of several ad-hoc Key Performance Indicators (KPIs) forevaluating many different location aspects.
Evaluation of optimal charging station location for electric vehicles: an Italian case-study / Fadda, Edoardo; Manerba, Daniele; Cabodi, Gianpiero; Camurati, Paolo Enrico; Tadei, Roberto - In: Recent Advances in Computational Optimization / Fidanova S.. - ELETTRONICO. - [s.l] : Springer, 2021. - ISBN 978-3-030-58883-0. - pp. 71-87 [10.1007/978-3-030-58884-7_4]
Evaluation of optimal charging station location for electric vehicles: an Italian case-study
Edoardo Fadda;Daniele Manerba;Gianpiero Cabodi;Paolo Camurati;Roberto Tadei
2021
Abstract
Electric vehicles are accelerating the world transition to sustainableenergy. Nevertheless, the lack of a proper charging station infrastructure inmany real implementations still represents an obstacle for the spread of sucha technology. In this paper, we present a real-case application of optimizationtechniques in order to solve the location problem of electric charging stationsin the district of Biella, Italy. The plan is composed by several progressiveinstallations and the decision makers pursue several objectives that mightconflict each other. For this reason, we present an innovative framework basedon the comparison of several ad-hoc Key Performance Indicators (KPIs) forevaluating many different location aspects.| File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2841254
			
		
	
	
	
			      	