Federated Clustering for Electricity Consumption Pattern Extraction
Author:
Affiliation:
1. Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong
2. Power Systems Laboratory, ETH Zurich, Zurich, Switzerland
3. College of Control Science and Engineering, Zhejiang University, Hangzhou, China
Funder
National Key Research and Development Program of China
Swiss Centre for Competence in Energy Research on the Future Swiss Electrical Infrastructure
Swiss Federal Office of Energy
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/5165411/9761268/09693930.pdf?arnumber=9693930
Reference53 articles.
1. Clustering analysis of residential electricity demand profiles
2. Federated Reinforcement Learning for Energy Management of Multiple Smart Homes With Distributed Energy Resources
3. Federated matrix factorization: Algorithm, design and application to data clustering;wang;arXiv 2002 04930,2020
4. Communication-efficient learning of deep networks from decentralized data;mcmahan;Proc Int Conf Artif Intell Stat,2017
5. Federated Machine Learning
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