Non-Intrusive Load Monitoring Based on Deep Pairwise-Supervised Hashing to Detect Unidentified Appliances

Non-Intrusive Load Monitoring Based on Deep Pairwise-Supervised Hashing to Detect Unidentified Appliances

Non-intrusive load monitoring (NILM) is a fast developing technique for appliances operation recognition in power system monitoring. At present, most NILM algorithms rely on the assumption that all fluctuations in the data stream are triggered by identified appliances. Therefore, NILM of identifying...

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Bibliographic Details
Main Authors: Qiang Zhao, Yao Xu, Zhenfan Wei, Yinghua Han
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Processes
Subjects:
non-intrusive load monitoring
V-I trajectory
deep pairwise-supervised hashing
feature learning
hash-code learning
Online Access:https://www.mdpi.com/2227-9717/9/3/505

Internet

https://www.mdpi.com/2227-9717/9/3/505

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