A Short term Electricity Load Forecasting for Community Residents Based on Federated Learning and Considering Privacy Protection

被引：0
|
作者：
Peng, Bo [1 ]
Zuo, Jing [1 ]
Gong, Xianfu [1 ]
Li, Yaodong [1 ]
Wu, Weijie [1 ]
Li, Yixin [1 ]
机构：
[1] Guangdong Power Grid Co. Ltd., Power Grid Planning Research Center, Guangdong, 510700, China
来源：
EAI Endorsed Transactions on Energy Web | 2024年 / 11卷
关键词：
Federated learning;
D O I：
10.4108/ew.6007
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1 / 11
相关论文
共 50 条
  • [1] Load forecasting using federated learning with considering electricity data privacy preservation of EASP
    Huang, Yichuan
    Song, Yuhui
    Jing, Zhaoxia
    AIN SHAMS ENGINEERING JOURNAL, 2024, 15 (06)
  • [2] 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
  • [3] Efficient community electricity load forecasting with transformer and federated learning
    Wang, Rui
    Liu, Zheng
    NDE 4.0, PREDICTIVE MAINTENANCE, COMMUNICATION, AND ENERGY SYSTEMS, 2023, 12489
  • [4] Federated Learning for Short-Term Residential Load Forecasting
    Briggs, Christopher
    Fan, Zhong
    Andras, Peter
    IEEE OPEN ACCESS JOURNAL OF POWER AND ENERGY, 2022, 9 : 573 - 583
  • [5] Short-Term Electricity Load Forecasting with Machine Learning
    Madrid, Ernesto Aguilar
    Antonio, Nuno
    INFORMATION, 2021, 12 (02) : 1 - 21
  • [6] An integrated federated learning algorithm for short-term load forecasting
    Yang, Yang
    Wang, Zijin
    Zhao, Shangrui
    Wuc, Jinran
    ELECTRIC POWER SYSTEMS RESEARCH, 2023, 214
  • [7] An integrated federated learning algorithm for short-term load forecasting
    Yang, Yang
    Wang, Zijin
    Zhao, Shangrui
    Wu, Jinran
    ELECTRIC POWER SYSTEMS RESEARCH, 2023, 214
  • [8] Federated learning-based privacy-preserving electricity load forecasting scheme in edge computing scenario
    Wang, Haolin
    Zhao, Yun
    He, Shan
    Xiao, Yong
    Tang, Jianlin
    Cai, Ziwen
    INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2024, 37 (05)
  • [9] Deep Reinforcement Learning-Assisted Federated Learning for Robust Short-Term Load Forecasting in Electricity Wholesale Markets
    Huang, Chenghao
    Bu, Shengrong
    Chen, Weilong
    Wang, Hao
    Zhang, Yanru
    IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2024, 11 (05): : 5073 - 5086
  • [10] Federated Learning Based Coordinated Training Method of a Short-term Load Forecasting Model
    Che L.
    Xu M.
    Cui Q.
    Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences, 2022, 49 (08): : 117 - 127
12345