Unknown Appliances Detection for Non-Intrusive Load Monitoring Based on Conditional Generative Adversarial Networks-Reference-Cited by-同舟云学术

Unknown Appliances Detection for Non-Intrusive Load Monitoring Based on Conditional Generative Adversarial Networks

Author:

Han Yinghua¹,Li Keke¹^ORCID,Wang Chen¹,Si Fangyuan²^ORCID,Zhao Qiang³^ORCID

Affiliation:

1. School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, China

2. Department of Electrical Engineering, State Key Laboratory of Power Systems, Tsinghua University, Beijing, China

3. School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Natural Science Foundation of Hebei Province of China

Postdoctoral Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Computer Science

Link

Reference48 articles.

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

4. Incremental Classifier Learning for Non-intrusive Appliance Identification;2024 9th Asia Conference on Power and Electrical Engineering (ACPEE);2024-04-11