Prediction of EV Charging Patterns Using Hybrid Machine Learning Algorithms

S. Sathishkumar, Yogesh Rajkumar R.

2025

Abstract

The transportation industry is progressing toward electric cars. Though their acceptance continues to grow, there are still several factors that limit their widespread use. These reasons citing the relatively short driving range of electric vehicles and the cost of battery production and maintenance. The Energy consumption of EVs is becoming increasingly important in recent times, owing to the swift adoption and introduction of EVs in the market. Consequently, in order to address such challenges researchers are using machine learning models to accurately predict electric vehicle charging behavior. Of which ensemble learning method outperforms the previous one substantially. This is supported by notably lower Symmetric Mean Absolute Percentage Error (SMAPE) scores, meaning that the charging behaviours are more accurately and reliably forecasted.

Paper Citation

in Harvard Style

Sathishkumar S. and R. Y. (2025). Prediction of EV Charging Patterns Using Hybrid Machine Learning Algorithms. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 779-788. DOI: 10.5220/0013872800004919

in Bibtex Style

@conference{icrdicct`2525,
author={S. Sathishkumar and Yogesh R.},
title={Prediction of EV Charging Patterns Using Hybrid Machine Learning Algorithms},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25},
year={2025},
pages={779-788},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013872800004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25
TI - Prediction of EV Charging Patterns Using Hybrid Machine Learning Algorithms
SN - 978-989-758-777-1
AU - Sathishkumar S.
AU - R. Y.
PY - 2025
SP - 779
EP - 788
DO - 10.5220/0013872800004919
PB - SciTePress