A deep learning based non-intrusive household load identification for smart grid in China-Reference-Cited by-同舟云学术

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A deep learning based non-intrusive household load identification for smart grid in China

Published:2021-09 Issue: Volume:177 Page:176-184
ISSN:0140-3664
Container-title:Computer Communications
language:en
Short-container-title:Computer Communications

Author:

Chen Chen^ORCID,Gao Pinghang,Jiang Jiange,Wang Hao,Li Pu,Wan Shaohua

Publisher

Elsevier BV

Subject

Computer Networks and Communications

Reference46 articles.

1. Technology composition and implementation sequence of smart grid;Yu;South,2014

2. Noninvasive electrical load identification based on improved genetic algorithm;Xu;J. Shenyang Univ. Technol.,2019

3. A survey on computational intelligence techniques for non intrusive load monitoring;Laouali,2020

4. Nonintrusive appliance load monitoring;Hart;Proc. IEEE,1992

5. Review on non-invasive load monitoring and decomposition;Cheng;Power Grid Technol.,2016

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