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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Sarra Houidi, Dominique Fourer, François Auger, Houda Ben Attia Sethom, Laurence Miègeville
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	MDPI AG 2021-05-01
Σειρά:	Energies
Θέματα:	Non-Intrusive Load Monitoring (NILM) Home Electrical Appliances (HEAs) identification feature selection transfer learning deep learning
Διαθέσιμο Online:	https://www.mdpi.com/1996-1073/14/9/2726
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