Decision Support System for Managing Electric Vehicle Charging Infrastructure (CROSBI ID 661520)
Prilog sa skupa u zborniku | kratko priopćenje | međunarodna recenzija
Podaci o odgovornosti
Pevec, Dario ; Podobnik, Vedran
engleski
Decision Support System for Managing Electric Vehicle Charging Infrastructure
Today, electric vehicles (EVs) market penetration is growing faster than ever before, and that is causing drastic changes in the transportation industry and, more broadly, in business, policymaking and society. As the number of EVs on the road increases, there is a higher demand for charging stations. This paper proposes the decision support system (DSS) for charging station infrastructure providers, based on the real-world data. One of the problems the proposed DSS can solve is described with the case study presented in this paper.
electric vehicles ; green transportation ; machine learning ; big data ; energy informatics ; decision support system
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Podaci o prilogu
15-16.
2017.
objavljeno
Podaci o matičnoj publikaciji
The 14th International Conference on Telecommunications – ConTEL 2017: PhD Forum – Book of Abstracts
Dobrijevic, Ognjen ; Krizanovic Cik, Visnja ; Mausa, Goran ; Solic, Petar
Zagreb: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu
978-953-184-228-0
Podaci o skupu
The 14th International Conference on Telecommunications – ConTEL 2017: PhD Forum
predavanje
28.06.2017-30.06.2017
Zagreb, Hrvatska