Evolution-Assisted Deep Reinforcement Learning for Fast Charging Station Coordinated Operation-Reference-Cited by-同舟云学术

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Evolution-Assisted Deep Reinforcement Learning for Fast Charging Station Coordinated Operation

Published:2024-06-30 Issue: Volume: Page:1-9
ISSN:
Container-title:2024 IEEE Congress on Evolutionary Computation (CEC)
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Author:

Yang Xiaoying¹,Gu Yujing²,Jia Fuhua³,Li Yiran¹,Wang Hongru⁴,Du Nanjiang¹,Cui Tianxiang¹,Ye Yujian⁴,Bai Ruibin¹

Affiliation:

1. School of Computer Science, University of Nottingham Ningbo China,Ningbo,China

2. State Grid Nantong Power Supply Company,Nantong,China

3. Materials and Manufacturing Engineering, University of Nottingham Ningbo China,Department of Mechanical,Ningbo,China

4. School of Electrical Engineering, Southeast University,Nanjing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609966/10611750/10611768.pdf?arnumber=10611768

Reference49 articles.

1. Container terminal daily gate in and gate out forecasting using machine learning methods

2. Global ev outlook 2023;Paris,2023

3. Smart charging management system for electric vehicles in coupled transportation and power distribution systems

4. Stability Analysis of DC Distribution System Considering Stochastic State of Electric Vehicle Charging Stations

5. Electric vehicles standards, charging infrastructure, and impact on grid integration: A technological review

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