Short-term Charging Load Prediction of Federated Learning Electric Vehicles After Accounting for User Charging Behavior and Privacy Protection

被引：0
|
作者：
Yang, Ting [1 ]
Qin, Xiaobing [1 ]
Feng, Xiangwei [1 ]
Xu, Zheming [1 ]
机构：
[1] School of Electrical and Information Engineering, Tianjin University, Tianjin,300072, China
来源：
Gaodianya Jishu/High Voltage Engineering | 2024年 / 50卷 / 10期
基金：
中国国家自然科学基金;
关键词：
Charging stations - Differential privacy - Prediction models - State of charge;
D O I：
10.13336/j.1003-6520.hve.20230765
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：4512 / 4519
相关论文
共 50 条
  • [11] Factors Impacting Short-Term Load Forecasting of Charging Station to Electric Vehicle
    Elahe, Md Fazla
    Kabir, Md Alamgir
    Mahmud, S. M. Hasan
    Azim, Riasat
    ELECTRONICS, 2023, 12 (01)
  • [12] Privacy-preserving estimation of electric vehicle charging behavior: A federated learning approach based on differential privacy
    Kong, Xiuping
    Lu, Lin
    Xiong, Ke
    INTERNET OF THINGS, 2024, 28
  • [13] Federated Reinforcement Learning for Electric Vehicles Charging Control on Distribution Networks
    Qian, Junkai
    Jiang, Yuning
    Liu, Xin
    Wang, Qiong
    Wang, Ting
    Shi, Yuanming
    Chen, Wei
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (03) : 5511 - 5525
  • [14] Prediction of Electric Vehicles Charging Behavior Based on the Data of Connected Vehicles
    Yu, Haiyang
    Zhang, Lu
    Liu, Chenyang
    Wang, Pinxi
    Ren, Yilong
    Yang, Can
    CICTP 2019: TRANSPORTATION IN CHINA-CONNECTING THE WORLD, 2019, : 4000 - 4011
  • [15] Privacy-preserving federated learning for residential short-term load forecasting
    Fernandez, Joaquin Delgado
    Potenciano, Sergio
    Lee, Chul Min
    Rieger, Alexander
    Fridgen, Gilbert
    APPLIED ENERGY, 2022, 326
  • [16] A Novel Ultra Short-Term Load Forecasting Method for Regional Electric Vehicle Charging Load Using Charging Pile Usage Degree
    Tang J.
    Ge G.
    Liu J.
    Yang H.
    Energy Engineering: Journal of the Association of Energy Engineering, 2023, 120 (05): : 1107 - 1132
  • [17] Short Term Prediction of Electric Vehicle Charging Load Based on Optimized Genetic Algorithm
    Qu TianYi
    PROCEEDINGS OF THE 2018 8TH INTERNATIONAL CONFERENCE ON MANAGEMENT, EDUCATION AND INFORMATION (MEICI 2018), 2018, 163 : 625 - 627
  • [18] User Behavior in Fast Charging of Electric Vehicles: An Analysis of Parameters and Clustering
    Capeletti, Marcelo Bruno
    Hammerschmitt, Bruno Knevitz
    Silva, Leonardo Nogueira Fontoura da
    Knak Neto, Nelson
    Passinato Sausen, Jordan
    Barriquello, Carlos Henrique
    Abaide, Alzenira da Rosa
    Energies, 2024, 17 (19)
  • [19] Mobile Charging Station Placements in Internet of Electric Vehicles: A Federated Learning Approach
    Liu, Linfeng
    Xi, Zhiyuan
    Zhu, Kun
    Wang, Ran
    Hossain, Ekram
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (12) : 24561 - 24577
  • [20] Short-Term Load Forecasting Model of Electric Vehicle Charging Load Based on MCCNN-TCN
    Zhang, Jiaan
    Liu, Chenyu
    Ge, Leijiao
    ENERGIES, 2022, 15 (07)
12345