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Pregled bibliografske jedinice broj: 937240

Decision Support System for Managing Electric Vehicle Charging Infrastructure


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 ; Solic, Petar (ur.).
Zagreb: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu, 2017. str. 15-16 (predavanje, međunarodna recenzija, kratko priopćenje, znanstveni)


CROSBI ID: 937240 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Decision Support System for Managing Electric Vehicle Charging Infrastructure

Autori
Pevec, Dario ; Podobnik, Vedran

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, kratko priopćenje, znanstveni

Izvornik
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, 2017, 15-16

ISBN
978-953-184-228-0

Skup
The 14th International Conference on Telecommunications – ConTEL 2017: PhD Forum

Mjesto i datum
Zagreb, Hrvatska, 28.06.2017. - 30.06.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
electric vehicles ; green transportation ; machine learning ; big data ; energy informatics ; decision support system

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Ekonomija



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Vedran Podobnik (autor)

Avatar Url Dario Pevec (autor)

Poveznice na cjeloviti tekst rada:

www.contel.hr

Citiraj ovu publikaciju:

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 ; Solic, Petar (ur.).
Zagreb: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu, 2017. str. 15-16 (predavanje, međunarodna recenzija, kratko priopćenje, znanstveni)
Pevec, D. & Podobnik, V. (2017) Decision Support System for Managing Electric Vehicle Charging Infrastructure. U: Dobrijevic, O., Krizanovic Cik, V., Mausa, G. & Solic, P. (ur.)The 14th International Conference on Telecommunications – ConTEL 2017: PhD Forum – Book of Abstracts.
@article{article, author = {Pevec, Dario and Podobnik, Vedran}, year = {2017}, pages = {15-16}, keywords = {electric vehicles, green transportation, machine learning, big data, energy informatics, decision support system}, isbn = {978-953-184-228-0}, title = {Decision Support System for Managing Electric Vehicle Charging Infrastructure}, keyword = {electric vehicles, green transportation, machine learning, big data, energy informatics, decision support system}, publisher = {Fakultet elektrotehnike i ra\v{c}unarstva Sveu\v{c}ili\v{s}ta u Zagrebu}, publisherplace = {Zagreb, Hrvatska} }
@article{article, author = {Pevec, Dario and Podobnik, Vedran}, year = {2017}, pages = {15-16}, keywords = {electric vehicles, green transportation, machine learning, big data, energy informatics, decision support system}, isbn = {978-953-184-228-0}, title = {Decision Support System for Managing Electric Vehicle Charging Infrastructure}, keyword = {electric vehicles, green transportation, machine learning, big data, energy informatics, decision support system}, publisher = {Fakultet elektrotehnike i ra\v{c}unarstva Sveu\v{c}ili\v{s}ta u Zagrebu}, publisherplace = {Zagreb, Hrvatska} }




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