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Electric Vehicles: A Data Science Perspective Review


Pevec, Dario; Babic, Jurica; Podobnik, Vedran
Electric Vehicles: A Data Science Perspective Review // Electronics, 8 (2019), 10; 1190, 30 doi:10.3390/electronics8101190 (međunarodna recenzija, članak, znanstveni)


Naslov
Electric Vehicles: A Data Science Perspective Review

Autori
Pevec, Dario ; Babic, Jurica ; Podobnik, Vedran

Izvornik
Electronics (2079-9292) 8 (2019), 10; 1190, 30

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
electric vehicles ; green transportation ; charging infrastructure ; energy informatics ; data science ; big data

Sažetak
Current trends are showing that the popularity of electric vehicles (EVs) has significantly increased over the last few years, causing changes not only in the transportation industry but generally in business and society. This paper covers one possible angle to the (r) evolution instigated by EVs, i.e., it provides the data science perspective review of the interdisciplinary area at the intersection of green transportation, energy informatics, and economics. Namely, the review summarizes data- driven research in EVs by identifying two main research streams: (i) socio–economic, and (ii) socio–technical. The socio–economic stream includes research in: (i) acceptance of green transportation in countries and among different populations, (ii) current trends in the EV market, and (iii) forecasting future sales for the green transportation. The socio–technical stream includes research in: (i) electric vehicle battery price and capacity and (ii) charging station management. This kind of study is especially important now when the question is no longer whether the transition from internal-combustion engine vehicles to clean-fuel vehicles is going to happen but how fast it will happen and what are going to be implications for society, governmental policies, and industry. Based on the presented literature review, the paper also outlines the most significant open questions and challenges that are yet to be solved: (i) scarcity of trustworthy (open) data, and (ii) designing a generalized methodology for charging station deployment.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, 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; Babic, Jurica; Podobnik, Vedran
Electric Vehicles: A Data Science Perspective Review // Electronics, 8 (2019), 10; 1190, 30 doi:10.3390/electronics8101190 (međunarodna recenzija, članak, znanstveni)
Pevec, D., Babic, J. & Podobnik, V. (2019) Electric Vehicles: A Data Science Perspective Review. Electronics, 8 (10), 1190, 30 doi:10.3390/electronics8101190.
@article{article, year = {2019}, pages = {30}, DOI = {10.3390/electronics8101190}, chapter = {1190}, keywords = {electric vehicles, green transportation, charging infrastructure, energy informatics, data science, big data}, journal = {Electronics}, doi = {10.3390/electronics8101190}, volume = {8}, number = {10}, issn = {2079-9292}, title = {Electric Vehicles: A Data Science Perspective Review}, keyword = {electric vehicles, green transportation, charging infrastructure, energy informatics, data science, big data}, chapternumber = {1190} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
    • Emerging Sources Citation Index (ESCI)
  • Scopus


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