Optimal Location and Pricing of Electric Vehicle Charging Stations Using Machine Learning and Stackelberg Game-Reference-Cited by-同舟云学术

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Optimal Location and Pricing of Electric Vehicle Charging Stations Using Machine Learning and Stackelberg Game

Published:2024-05 Issue:3 Volume:60 Page:4708-4722
ISSN:0093-9994
Container-title:IEEE Transactions on Industry Applications
language:
Short-container-title:IEEE Trans. on Ind. Applicat.

Author:

Adil Muhammad¹^ORCID,Mahmud M. A. Parvez²^ORCID,Kouzani Abbas Z¹^ORCID,Khoo Sui Yang¹^ORCID

Affiliation:

1. School of Engineering, Deakin University, Geelong, VIC, Australia

2. School of Mathematical and Physical Sciences, University of Technology Sydney, Ultimo, NSW, Australia

Funder

Deakin University Geelong Australia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/28/10535351/10432972.pdf?arnumber=10432972

Reference22 articles.

1. Optimal Energy Trade in Retailer, Charging Station, and Electric Vehicles using a Stackelberg Game

2. Toward Sustainable Transportation: Accelerating Vehicle Electrification With Dynamic Charging Deployment

3. Planning of EV Charging Station With Distribution Network Expansion Considering Traffic Congestion and Uncertainties

4. Energy trading among electric vehicles based on stackelberg approaches: A review;Adil,2021

5. Optimal Electric Vehicle Fast Charging Station Placement Based on Game Theoretical Framework

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