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The Innovation > 2024 Vol. 5 > No. 2
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Unraveling adaptive changes in electric vehicle charging behavior toward the postpandemic era by federated meta-learning

  • 1.

    School of Intelligent Systems Engineering, Sun Yat-Sen University, Shenzhen 518107, China

  • 2.

    Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, Singapore 138632, Republic of Singapore

  • 3.

    Institute of Space and Earth Information Science, Chinese University of Hong Kong, Hong Kong, China

  • 4.

    Key Laboratory of Virtual Geographic Environment (Ministry of Education), Nanjing Normal University, Nanjing 210023, China

  • 5.

    Institute of Remote Sensing and Geographical Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, China

  • 6.

    State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan 430079, China

  • 7.

    Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China

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  • Corresponding author: zhur@ihpc.a-star.edu.sg 
  • Received Date:  August 11, 2023
    Accepted Date:  February 05, 2024
    Published Online:  February 09, 2024
The Innovation  5(2),  https://doi.org/10.1016/j.xinn.2024.100587  |  Cite this article
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    • REFERENCES
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  • Cite this article:

    Linlin You, Rui Zhu, Mei-Po Kwan, Min Chen, Fan Zhang, Bisheng Yang, Man Sing Wong, Zheng Qin. Unraveling adaptive changes in electric vehicle charging behavior toward the postpandemic era by federated meta-learning[J]. The Innovation, 2024, 5(2). https://doi.org/10.1016/j.xinn.2024.100587
    Linlin You, Rui Zhu, Mei-Po Kwan, Min Chen, Fan Zhang, Bisheng Yang, Man Sing Wong, Zheng Qin. Unraveling adaptive changes in electric vehicle charging behavior toward the postpandemic era by federated meta-learning[J]. The Innovation, 2024, 5(2). https://doi.org/10.1016/j.xinn.2024.100587

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