Comparative Evaluation of Non-Intrusive Load Monitoring Methods Using Relevant Features and Transfer Learning

Comparative Evaluation of Non-Intrusive Load Monitoring Methods Using Relevant Features and Transfer Learning

Non-Intrusive Load Monitoring (NILM) refers to the analysis of the aggregated current and voltage measurements of Home Electrical Appliances (HEAs) recorded by the house electrical panel. Such methods aim to identify each HEA for a better control of the energy consumption and for future smart grid a...

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Bibliographic Details
Main Authors: Sarra Houidi, Dominique Fourer, François Auger, Houda Ben Attia Sethom, Laurence Miègeville
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Energies
Subjects:
Non-Intrusive Load Monitoring (NILM)
Home Electrical Appliances (HEAs)
identification
feature selection
transfer learning
deep learning
Online Access:https://www.mdpi.com/1996-1073/14/9/2726

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