Machine learning approach for electric vehicle availability forecast to provide vehicle-to-home services

Aguilar-Dominguez, D., Ejeh, J., Dunbar, A.D.F. orcid.org/0000-0002-2313-4234 et al. (1 more author) (2021) Machine learning approach for electric vehicle availability forecast to provide vehicle-to-home services. In: Cruden, A., (ed.) Energy Reports. 5th Annual CDT Conference in Energy Storage and Its Applications, 12-13 Jan 2021, Virtual conference. Elsevier BV , pp. 71-80.

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: ⃝© 2021 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Electric vehicle; Optimisation; Machine learning; Vehicle-to-grid
Dates:
  • Accepted: 17 February 2021
  • Published (online): 28 May 2021
  • Published: May 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Chemical and Biological Engineering (Sheffield)
Funding Information:
FunderGrant number
Engineering and Physical Sciences Research CouncilEP/L016818/1
Depositing User: Symplectic Sheffield
Date Deposited: 08 Jul 2021 10:52
Last Modified: 08 Jul 2021 10:52
Status: Published
Publisher: Elsevier BV
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.egyr.2021.02.053

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