Forecasting Methods for the Electric Vehicle Ownership: A Literature Review
Penulis:Â Kemala, Bunga Kharissa Laras;Â Surjandari, Isti;Â Puspita, Angella Natalia Ghea
Informasi
JurnalProcedia Computer Science
PenerbitElsevier B.V.
Volume & EdisiVol. 234
Halaman87 - 95
Tahun Publikasi2024
ISSN18770509
Jenis SumberScopus
Sitasi
Scopus: 6
Google Scholar: 9
PubMed: 9
Abstrak
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. © 2023 The Authors. Published by Elsevier B.V.
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