Graph Reinforcement Learning for Carbon-Aware Electric Vehicles in Power-Transport Networks-Reference-Cited by-同舟云学术

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Graph Reinforcement Learning for Carbon-Aware Electric Vehicles in Power-Transport Networks

Published:2024-07 Issue:4 Volume:15 Page:3919-3935
ISSN:1949-3053
Container-title:IEEE Transactions on Smart Grid
language:
Short-container-title:IEEE Trans. Smart Grid

Author:

Qiu Dawei¹^ORCID,Wang Yi¹^ORCID,Ding Zhaohao²^ORCID,Wang Yi³^ORCID,Strbac Goran¹^ORCID

Affiliation:

1. Department of Electrical and Electronic Engineering, Imperial College London, London, U.K.

2. School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China

3. Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, SAR, China

Funder

U.K. EPSRC Project: “Integrated Development of Low-Carbon Energy Systems (IDLES): A Whole-System Paradigm for Creating a National Strategy”

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/5165411/10566087/10415871.pdf?arnumber=10415871

Reference44 articles.

1. A Survey on the Electrification of Transportation in a Smart Grid Environment

2. Optimal Power and Semi-Dynamic Traffic Flow in Urban Electrified Transportation Networks

3. Routing and Charging Facility Location for EVs Under Nodal Pricing of Electricity: A Bilevel Model Solved Using Special Ordered Set

4. Joint Route Selection and Charging Discharging Scheduling of EVs in V2G Energy Network

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