A data-driven statistical approach for extending electric vehicle charging infrastructure

Author:

Pevec Dario1ORCID,Babic Jurica1ORCID,Kayser Martin A.2,Carvalho Arthur3ORCID,Ghiassi-Farrokhfal Yashar2ORCID,Podobnik Vedran1ORCID

Affiliation:

1. Faculty of Electrical Engineering and Computing; University of Zagreb; Zagreb Croatia

2. Rotterdam School of Management; Erasmus University; Rotterdam The Netherlands

3. Farmer School of Business; Miami University; Oxford USA

Funder

Managing Trust and Coordinating Interactions in Smart Networks of People, Machines and Organizations

Publisher

Wiley

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference37 articles.

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2. Plug-in vehicles and renewable energy sources for cost and emission reductions;Saber;IEEE Trans Ind Electron,2011

3. Cijfers elektrisch vervoer http://www.rvo.nl/onderwerpen/duurzaam-ondernemen/energie-en-milieu-innovaties/elektrisch-rijden/stand-van-zaken/cijfers

4. A comprehensive review on theoretical framework-based electric vehicle consumer adoption research;Adnan;Int J Energy Res,2017

5. The impact of range anxiety and home, workplace, and public charging infrastructure on simulated battery electric vehicle lifetime utility;Neubauer;J Power Sources,2014

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