Design of Detection and Assessment System for Electric Vehicle Charging Station Based on Genetic Algorithm-Reference-Cited by-同舟云学术

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Design of Detection and Assessment System for Electric Vehicle Charging Station Based on Genetic Algorithm

Published:2023-09-25 Issue: Volume:2022 Page:455-459
ISSN:
Container-title:2023 International Conference on Power, Electrical Engineering, Electronics and Control (PEEEC)
language:
Short-container-title:

Author:

Liu Weixin¹,Wang Xiaowen²,Zhang Xiaolei¹,Ding Yang¹,Li Qingtian³

Affiliation:

1. State Grid Xinjiang Company Limited Electric Power Research Institute,Wulumuqi,Xinjiang,China,830000

2. Xinjiang Uygur Autonomous Research Institute Of Measurement and Testing,Urumqi,Xinjiang,China,830011

3. State Grid Aletai Electric Power Supply Company,Aletai,Xinjiang,China,836500

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10414453/10414454/10414830.pdf?arnumber=10414830

Reference13 articles.

1. Electric Vehicle Charging Station Placement: Formulation, Complexity, and Solutions

2. An Off-Board Multi-Functional Electric Vehicle Charging Station for Smart Homes: Analysis and Experimental Validation

3. Short-Term Load Forecasting for Electric Vehicle Charging Station Based on Niche Immunity Lion Algorithm and Convolutional Neural Network

4. Electric vehicle charging station microgrid providing unified power quality conditioner support to local power distribution networks

5. Techno‐economic feasibility of hydrogen based electric vehicle charging station: A case study

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