Machine Learning for Solving Charging Infrastructure Planning: A Comprehensive Review

Sanchari Deb

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

The ever-growing energy demand accompanied with environmental pollution has initiated a paradigm shift towards Electric Vehicles (EVs) from conventional vehicles. Public acceptance of EVs call for availability of charging infrastructure. Charging infrastructure planning is an intricate process involving various activities such as charging station placement, charging demand prediction, charging scheduling etc and interaction of power distribution as well as road network. In recent years, the advent of machine learning has made data driven approaches popular for solving charging infrastructure planning problem. Consequently, researchers have started using machine learning techniques for solving problems associated with charging infrastructure planning such as charging station placement, charging demand prediction, charging scheduling etc. This work aims to provide a comprehensive review of machine learning applications for solving charging infrastructure planning.
Original languageEnglish
Title of host publication5th International Conference on Smart Grid and Smart Cities, ICSGSC 2021
EditorsOm Malik, Liansong Xiong
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages16-22
ISBN (Electronic)978-1-6654-0134-0
ISBN (Print)978-1-6654-2970-2
DOIs
Publication statusPublished - 18 Jun 2021
MoE publication typeA4 Article in a conference publication
Event5th International Conference on Smart Grid and Smart Cities, ICSGSC 2021 - Tokyo, Japan
Duration: 18 Jun 202120 Jun 2021

Publication series

SeriesInternational Conference on Smart Grid and Smart Cities (ICSGSC)
Volume5
ISSN2768-007X

Conference

Conference5th International Conference on Smart Grid and Smart Cities, ICSGSC 2021
Abbreviated titleICSGSC 2021
Country/TerritoryJapan
CityTokyo
Period18/06/2120/06/21

Keywords

  • charger
  • electric vehicle
  • machine learning
  • review

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