Optimal Locating of Electric Vehicle Charging Stations by Application of Genetic Algorithm
Author:
Publisher
MDPI AG
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development
Link
http://www.mdpi.com/2071-1050/10/4/1076/pdf
Reference31 articles.
1. Review of prospects for adoption of fuel cell electric vehicles in New Zealand
2. A Comprehensive Study of Key Electric Vehicle (EV) Components, Technologies, Challenges, Impacts, and Future Direction of Development
3. Traffic-Constrained Multiobjective Planning of Electric-Vehicle Charging Stations
4. Optimal Transition to Plug-In Hybrid Electric Vehicles in Ontario, Canada, Considering the Electricity-Grid Limitations
5. Electric Vehicle Charging Station Placement: Formulation, Complexity, and Solutions
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3. An Efficient Andean Condor Algorithm for Optimal Charging Stations for Electric Vehicle;2023 International Conference on Circuit Power and Computing Technologies (ICCPCT);2023-08-10
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