| 注册
首页|期刊导航|中国电机工程学会电力与能源系统学报(英文版)|Personalized Federated Learning for Individual Consumer Load Forecasting

Personalized Federated Learning for Individual Consumer Load Forecasting

Yi Wang Ning Gao Gabriela Hug

中国电机工程学会电力与能源系统学报(英文版)2023,Vol.9Issue(1):326-330,5.
中国电机工程学会电力与能源系统学报(英文版)2023,Vol.9Issue(1):326-330,5.DOI:10.17775/CSEEJPES.2021.07350

Personalized Federated Learning for Individual Consumer Load Forecasting

Personalized Federated Learning for Individual Consumer Load Forecasting

Yi Wang 1Ning Gao 2Gabriela Hug1

作者信息

  • 1. Department of Electrical and Electronic Engineering,The University of Hong Kong,Hong Kong,China
  • 2. ETH Zurich,Zurich,Switzerland
  • 折叠

摘要

关键词

Federated learning/load forecasting/personalization/privacy-preserving/smart meter

Key words

Federated learning/load forecasting/personalization/privacy-preserving/smart meter

引用本文复制引用

Yi Wang,Ning Gao,Gabriela Hug..Personalized Federated Learning for Individual Consumer Load Forecasting[J].中国电机工程学会电力与能源系统学报(英文版),2023,9(1):326-330,5.

基金项目

The work was supported by the activities of the Renewable Management and Real-Time Control Platform(ReMaP)financially suDDorted by the Swiss Federal Office of Energy(SFOE) (ReMaP)

中国电机工程学会电力与能源系统学报(英文版)

OACSCDCSTPCDEI

2096-0042

访问量0
|
下载量0
段落导航相关论文