z-logo
open-access-imgOpen Access
Privacy-preserving household load forecasting based on non-intrusive load monitoring: A federated deep learning approach
Author(s) -
Xinxin Zhou,
Jingru Feng,
Jian Wang,
Jianhong Pan
Publication year - 2022
Publication title -
peerj computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.806
H-Index - 24
ISSN - 2376-5992
DOI - 10.7717/peerj-cs.1049
Subject(s) - computer science , power (physics) , deep learning , smart grid , electric power system , signal (programming language) , artificial intelligence , data mining , real time computing , machine learning , reliability engineering , engineering , physics , quantum mechanics , electrical engineering , programming language

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom