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Understanding User Behaviour and Predicting Charging Costs: A Machine Learning Approach to Support Electric Vehicle Adoption Decisions
Muhammed Cavus, Huseyin Ayan, Margaret Bell and Dilum Dissanayake IET Intelligent Transport Systems 19(1) (2025) https://doi.org/10.1049/itr2.70088
Bala Murugan D, Harihara Shanmugam A R, M. Prabhakar Christopher David, P.R.Ramakrishnan, Sankar Singh.K and S. Balamuralitharan 290 (2025) https://doi.org/10.1109/MPCON66082.2025.11251495
Artificial Intelligence in the Analysis of Energy Consumption of Electric Vehicles
Solar-Driven Wireless Charging: Innovations in Electric Vehicle Energy Systems
Ali Nofal Abd Ali Al-Musawi, Divya Shree V, Ashish Nema, D. Little Femilinjana, Ankita Joshi, R. Vimala Devi, S.G. Malla, B. Pragathi, U.R. Muduli and H. Awad E3S Web of Conferences 540 02025 (2024) https://doi.org/10.1051/e3sconf/202454002025
Optimal Control of Fast Charging Converters for Renewable Systems in E-Vehicle Applications
Ali Al Mansory, Neha Khare, Reena R, Myasar Mundheradnan, Devendra Singh, J. Devika, S.G. Malla, B. Pragathi, U.R. Muduli and H. Awad E3S Web of Conferences 540 02009 (2024) https://doi.org/10.1051/e3sconf/202454002009
Predictive machine learning in optimizing the performance of electric vehicle batteries: Techniques, challenges, and solutions
Privacy-preserving State of Health prediction for electric vehicle batteries: A comprehensive review
Vankamamidi S. Naresh, Vanapalli Sai Sriram, Vegi Jaya Krishna, Vemulapalli Devi Chandini, Rayavarapu Navya Sri, Ketha Jyothi Durga and Velagala Poojitha Computers and Electrical Engineering 118 109416 (2024) https://doi.org/10.1016/j.compeleceng.2024.109416
Machine Learning-Driven Energy Management for Electric Vehicles in Renewable Microgrids
Sharon Sophia J, D. David Winster Praveenraj, Kassem Al-Attabi, Sheela Bijlwan, Mayank Nagar, Sharayu Ikhar, S.G. Malla, B. Pragathi, U.R. Muduli and H. Awad E3S Web of Conferences 540 02023 (2024) https://doi.org/10.1051/e3sconf/202454002023