Authors: Ms . Nellipudi Sai Sravani1, Dr Sivabalan Settu Ph.D, Postdoc 2
Abstract: Despite the numerous advantages that electric vehicles (EVs) offer in terms of environmental protection and emission reduction, their widespread acceptance is primarily influenced by their pricing. By utilizing machine learning (ML) algorithms, it is possible to forecast these costs. This study seeks to evaluate the effectiveness of several prominent ML algorithms to ascertain which one is most capable of accurately predicting the prices of electric vehicles. In order to pinpoint the essential factors, we conducted a literature review to investigate the elements that influence the pricing of electric vehicles, facilitating our cost estimation. We theoretically assessed these ML algorithms to corroborate our results and subsequently compared the findings of this comparative analysis with the results obtained from the simulations.
DOI: https://doi.org/10.5281/zenodo.15790332
