Personalized Federated Learning for Heterogeneous Residential Load Forecasting

Personalized Federated Learning for Heterogeneous Residential Load Forecasting

Accurate load forecasting is critical for electricity production, transmission, and maintenance. Deep learning (DL) model has replaced other classical models as the most popular prediction models. However, the deep prediction model requires users to provide a large amount of private electricity cons...

Full description

Bibliographic Details
Main Authors: Xiaodong Qu, Chengcheng Guan, Gang Xie, Zhiyi Tian, Keshav Sood, Chaoli Sun, Lei Cui
Format: Article
Language:English
Published: Tsinghua University Press 2023-12-01
Series:Big Data Mining and Analytics
Subjects:
load forecasting
personalized federated learning
differential privacy
Online Access:https://www.sciopen.com/article/10.26599/BDMA.2022.9020043

Internet

https://www.sciopen.com/article/10.26599/BDMA.2022.9020043

Similar Items