Non‐intrusive load monitoring by voltage–current trajectory enabled asymmetric deep supervised hashing

Non‐intrusive load monitoring by voltage–current trajectory enabled asymmetric deep supervised hashing

Abstract With the development of smart grids, appliance‐level data information plays a vital role in smart power consumption. Nowadays, appliance signatures detected by non‐intrusive load monitoring (NILM) can be used for anomaly detection, demand response, and electricity management. These applicat...

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Bibliographic Details
Main Authors: Yinghua Han, Yao Xu, Yaxin Huo, Qiang Zhao
Format: Article
Language:English
Published: Wiley 2021-11-01
Series:IET Generation, Transmission & Distribution
Subjects:
Other topics in statistics
Optimisation techniques
Image and video coding
Power system management, operation and economics
Domestic appliances
Online Access:https://doi.org/10.1049/gtd2.12242

Internet

https://doi.org/10.1049/gtd2.12242

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