A Semi-Supervised Approach for Improving Generalization in Non-Intrusive Load Monitoring

A Semi-Supervised Approach for Improving Generalization in Non-Intrusive Load Monitoring

Non-intrusive load monitoring (NILM) considers different approaches for disaggregating energy consumption in residential, tertiary, and industrial buildings to enable smart grid services. The main feature of NILM is that it can break down the bulk electricity demand, as recorded by conventional smar...

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Bibliographic Details
Main Authors:	Dea Pujić, Nikola Tomašević, Marko Batić
Format:	Article
Language:	English
Published:	MDPI AG 2023-01-01
Series:	Sensors
Subjects:	domain adversarial neural networks generalization non-intrusive load monitoring semi-supervised learning
Online Access:	https://www.mdpi.com/1424-8220/23/3/1444

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