FMGCN: Federated Meta Learning-Augmented Graph Convolutional Network for EV Charging Demand Forecasting-Reference-Cited by-同舟云学术

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FMGCN: Federated Meta Learning-Augmented Graph Convolutional Network for EV Charging Demand Forecasting

Published:2024-07-15 Issue:14 Volume:11 Page:24452-24466
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

You Linlin¹^ORCID,Chen Qiyang¹^ORCID,Qu Haohao²^ORCID,Zhu Rui³^ORCID,Yan Jinyue⁴,Santi Paolo⁵^ORCID,Ratti Carlo⁵

Affiliation:

1. School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China

2. Department of Computing, Hong Kong Polytechnic University, Hong Kong, China

3. Institute of High Performance Computing, Agency for Science, Technology and Research, Fusionopolis, Singapore

4. Energy and Buildings, Hong Kong Polytechnic University, Hong Kong, China

5. Department of Urban Studies and Planning, Senseable City Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA

Funder

Basic and Applied Basic Research Foundation of Guangdong Province

National Natural Science Foundation of China

National Research Foundation Singapore and DSO National Laboratories under the AI Singapore Programme

RIE 2020 Advanced Manufacturing and Engineering (AME) Programmatic Fund, Singapore

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10589449/10472318.pdf?arnumber=10472318

Reference50 articles.

1. Electric Vehicle Dynamic Wireless Charging System: Optimal Placement and Vehicle-to-Grid Scheduling

2. Optimal Power Management Based on Q-Learning and Neuro-Dynamic Programming for Plug-in Hybrid Electric Vehicles

3. Multi-Microgrids Load Balancing through EV Charging Networks

4. Joint Optimization of Delay-Tolerant Autonomous Electric Vehicles Charge Scheduling and Station Battery Degradation

5. LbSP: Load-Balanced Secure and Private Autonomous Electric Vehicle Charging Framework With Online Price Optimization

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