Machine Learning-Based Analysis and Prediction of Electric Vehicle Costs

8 Apr
Posted on Author Neha Rai

Machine Learning-Based Analysis and Prediction of Electric Vehicle Costs

Authors- Mrs. R. Veera Meenakshi., J.S.N.Srinivas Sattwik., K.K.Satya Prasanna., M.Thanmai Sswechitha., P.V.S Raghavendra Nehru, N.Shanmukhi Satya

Abstract-Electric vehicles (EVs) offer significant environmental benefits by reducing emissions, yet their widespread adoption is largely influenced by cost. Machine learning (ML) algorithms provide a promising approach for predicting EV prices. This study aims to evaluate and compare the performance of various well-established ML algorithms to determine the most effective model for price prediction. To identify key factors influencing EV costs, we conducted a literature review analysing the elements that contribute to pricing. We then theoretically assessed different ML algorithms and validated our findings through comparative analysis and simulation results.

DOI: /10.61463/ijset.vol.13.issue2.268