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Decision Support System for Managing Electric Vehicle Charging Infrastructure (CROSBI ID 661520)

Prilog sa skupa u zborniku | kratko priopćenje | međunarodna recenzija

Pevec, Dario ; Podobnik, Vedran Decision Support System for Managing Electric Vehicle Charging Infrastructure // The 14th International Conference on Telecommunications – ConTEL 2017: PhD Forum – Book of Abstracts / Dobrijevic, Ognjen ; Krizanovic Cik, Visnja ; Mausa, Goran et al. (ur.). Zagreb: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu, 2017. str. 15-16

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

Povezanost rada

Ekonomija, Elektrotehnika, Računarstvo

Poveznice