Allocation of charging stations in Kota city using data analysis/machine learning-Reference-Cited by-同舟云学术

Allocation of charging stations in Kota city using data analysis/machine learning

Published:2024-06-03 Issue:1 Volume:19 Page:
ISSN:1556-7249
Container-title:Energy Sources, Part B: Economics, Planning, and Policy
language:en
Short-container-title:Energy Sources, Part B: Economics, Planning, and Policy

Author:

Verma Rohan¹,Sharma S.K.¹,Kumar Prashant²^ORCID,Singh Pushpendra³

Affiliation:

1. Department of Renewable Energy Rajasthan Technical University Kota, India

2. Department of Electrical Engineering, School of Technology, Woxsen University, Hyderabad, India

3. Department of Energy Sciences, Atria University, Bengaluru, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15567249.2024.2360437

Reference33 articles.

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2. Aggarwal, S., M. Bajaj, and A. K. Singh 2020. Analysis of electric vehicle charging station allocation in deregulated electric power system. IEEE 9th Power India International Conference (PIICON), Murthal, Delhi- National Capital Region, India, February 28–March 01, pp. 1–6.

3. Archana, A. N., and T. Rajeev 2020. Reliability index based approach for allocating EV charging station in a distribution system. IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE2020), Cochin, Kerala, India, January 2–4, pp. 1–6.

4. Analysis of an Optimal Planning Model for Electric Vehicle Fast-Charging Stations in Al Ain City, United Arab Emirates

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