Issue |
MATEC Web Conf.
Volume 392, 2024
International Conference on Multidisciplinary Research and Sustainable Development (ICMED 2024)
|
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Article Number | 01070 | |
Number of page(s) | 4 | |
DOI | https://doi.org/10.1051/matecconf/202439201070 | |
Published online | 18 March 2024 |
The optimal placement model for electric vehicle charging stations using bayesian networks
Department of AI&ML, CBIT, Hyderabad, Telangana, India.
* Corresponding author: siddu26.reddy@gmail.com
As costs rise and fossil fuels have harmful environ- mental effects more and more people choose electric cars or electric cars this change shows how electric cars are becoming more and more popular in the transportation industry as their fleet grows it becomes clear that more infrastructure is required for charging the first step in the optimization method of this study which aims to identify ideal locations for stations considering user accessibility and investment costs is to identify potential charging locations and places are carefully studied using mixed integer linear programming MLP techniques to identify optimal locations based on historical EV paths the study examines this complex urban environment.
Key words: Electric Vehicle / Charging Station Placement / Optimization
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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