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Forecasting Methods for the Electric Vehicle Ownership: A Literature Review.

Authors :
Kemala, Bunga Kharissa Laras
Surjandari, Isti
Puspita, Angella Natalia Ghea
Source :
Procedia Computer Science; 2024, Vol. 234, p87-95, 9p
Publication Year :
2024

Abstract

The sustainability issue in the transportation sector brings the electric vehicle (EV) as a new promising solution for reducing carbon emissions. However, the EV adoption faces issues regarding range, recharging time, and high initial investment. To enhance the adoption, supporting infrastructures should be planned. Therefore, forecasting the growth of EV adoption becomes important to help industries and government in strategic decision making. This paper provides a literature review about forecasting methods in EV ownership, which includes studies from 2011 to March 2023. This will contribute to highlight the current methods and stimulating more developments of forecasting methods related to EV ownership. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18770509
Volume :
234
Database :
Supplemental Index
Journal :
Procedia Computer Science
Publication Type :
Academic Journal
Accession number :
176900762
Full Text :
https://doi.org/10.1016/j.procs.2024.02.155