Publication Type : Conference Paper
Publisher : IEEE
Source : 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, India, 2024, pp. 1050-1055, doi: 10.1109/ICACCS60874.2024.10716983.
Url : https://ieeexplore.ieee.org/document/10716983
Campus : Bengaluru
School : School of Engineering
Department : Electrical and Electronics
Year : 2024
Abstract : Electric Vehicles (EV s) have become a necessary companion of humans in the last 5–6 years since these solely work on electricity. People are preferring EVs over regular vehicles since they are more energy efficient. However, there is a major problem of constant charging requirements and a limitation of charging stations. The basic purpose of the proposed work is to predict the average charging time through different machine learning algorithms, which would provide a precise idea about the best algorithm that could be used for the prediction. The next decades will depend on EVs, so having such a model would be a boon for the EV owners and the charging stations, too, as it would help set up new charging stations and see the average charging time of each vehicle.
Cite this Research Publication : S. Sharma, D. K and S. V. Tresa Sangeetha, "Study of Electric Vehicle Charging Prediction using Different Machine Learning Algorithms," 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, India, 2024, pp. 1050-1055, doi: 10.1109/ICACCS60874.2024.10716983.