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Pregled bibliografske jedinice broj: 904816

A Computational Framework for Managing Electric Vehicle Charging Infrastructure


Pevec, Dario; Kayser, Martin A.; Babić, Jurica; Carvalho, Arthur; Ghiassi-Farrokhfal, Yashar; Podobnik, Vedran
A Computational Framework for Managing Electric Vehicle Charging Infrastructure // Proceedings of the 9th International Exergy, Energy and Environment Symposium / Nižetić, Sandro ; Šolić, Petar ; Milanović, Željka (ur.).
Split: University of Split, 2017. str. 336-345 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
A Computational Framework for Managing Electric Vehicle Charging Infrastructure

Autori
Pevec, Dario ; Kayser, Martin A. ; Babić, Jurica ; Carvalho, Arthur ; Ghiassi-Farrokhfal, Yashar ; Podobnik, Vedran

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 9th International Exergy, Energy and Environment Symposium / Nižetić, Sandro ; Šolić, Petar ; Milanović, Željka - Split : University of Split, 2017, 336-345

ISBN
978-953-290-069-9

Skup
9th International Exergy, Energy and Environment Symposium

Mjesto i datum
Split, Hrvatska, 14-17.05.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
electric vehicles ; green transportation ; charging infrastructure ; big data analytics ; computational framework

Sažetak
Current trends suggest that there is an increase in the overall usage of electric vehicles (EV). This, in turn, is causing drastic changes in the transportation industry and, more broadly, in business, policymaking and society. One concrete challenge brought by the increase in the number of EVs is a higher demand for charging stations. This paper presents a computational framework that uses real world data to answer questions related to EV charging infrastructure, such as where to place new chargers and how many chargers are needed to bring energy utilization to a desirable level. Our framework allows one to predict charging station utilization even when EV charging infrastructure and/or contextual data change. We foresee that the proposed framework can be used by EV charging infrastructure providers as a decision support tool that prescribes an optimal area to place a new charging station.

Izvorni jezik
Engleski

Znanstvena područja
Tehnologija prometa i transport



POVEZANOST RADA


Ustanove
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Vedran Podobnik (autor)

Avatar Url Jurica Babić (autor)

Avatar Url Dario Pevec (autor)

Citiraj ovu publikaciju

Pevec, Dario; Kayser, Martin A.; Babić, Jurica; Carvalho, Arthur; Ghiassi-Farrokhfal, Yashar; Podobnik, Vedran
A Computational Framework for Managing Electric Vehicle Charging Infrastructure // Proceedings of the 9th International Exergy, Energy and Environment Symposium / Nižetić, Sandro ; Šolić, Petar ; Milanović, Željka (ur.).
Split: University of Split, 2017. str. 336-345 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Pevec, D., Kayser, M., Babić, J., Carvalho, A., Ghiassi-Farrokhfal, Y. & Podobnik, V. (2017) A Computational Framework for Managing Electric Vehicle Charging Infrastructure. U: Nižetić, S., Šolić, P. & Milanović, Ž. (ur.)Proceedings of the 9th International Exergy, Energy and Environment Symposium.
@article{article, year = {2017}, pages = {336-345}, keywords = {electric vehicles, green transportation, charging infrastructure, big data analytics, computational framework}, isbn = {978-953-290-069-9}, title = {A Computational Framework for Managing Electric Vehicle Charging Infrastructure}, keyword = {electric vehicles, green transportation, charging infrastructure, big data analytics, computational framework}, publisher = {University of Split}, publisherplace = {Split, Hrvatska} }