Federated Learning-Based Load Forecasting for Energy Aggregation Service Providers
Swarm Intelligent Operation and Optimal Control of Virtual Power Plant·Hosted by GAO Yang, SHANG Ce, HU Xiao, XIA Yuanxing, ZHENG Xiaodong, YANG Nan·|更新时间:2025-08-06
|
Federated Learning-Based Load Forecasting for Energy Aggregation Service Providers
“In the field of energy aggregation services, experts have proposed a load forecasting method based on federated learning, which effectively improves operational efficiency and forecasting accuracy.”
Electric Power ConstructionVol. 46, Issue 1, Pages: 37-47(2025)
作者机构:
华南理工大学电力学院,广州市 510641
作者简介:
基金信息:
National Natural Science Foundation of China(52107106)
HUANG Yichuan,SONG Yuhui,JING Zhaoxia.Federated Learning-Based Load Forecasting for Energy Aggregation Service Providers[J].Electric Power Construction,2025,46(01):37-47.
HUANG Yichuan,SONG Yuhui,JING Zhaoxia.Federated Learning-Based Load Forecasting for Energy Aggregation Service Providers[J].Electric Power Construction,2025,46(01):37-47. DOI: 10.12204/j.issn.1000-7229.2025.01.004.
Federated Learning-Based Load Forecasting for Energy Aggregation Service Providers
Spatial-Temporal Distribution Prediction of Charging Load of Electric Truck Cluster Considering Battery Loss Under Path Planning
Multivariate Load Forecasting of Integrated Energy System Based on CEEMDAN-CSO-LSTM-MTL
Multivariate Load Forecasting of Integrated Energy Systems Based on Convolutional Neural Network and Soft Sharing Mechanism
Related Author
CUI Jinghao
ZHANG Yi
ZHANG Zhichao
YU Yang
WANG Yongli
LIU Zeqiang
DONG Huanran
LI Dexin
Related Institution
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North;China Electric Power University)
Hebei Wind-Solor-Hydrogen Storage Safety Monitoring and Intelligent Operation Center of Technology Innovation (North China University of Science and Technology)
College of Electrical Engineering, North China University of Science and Technology
State Grid Jilin Electric Power Co., Ltd. Electric Power Science Research Institute
College of Economics and Management, North China Electric Power University