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...

Descripción completa

Detalles Bibliográficos

Autores principales:	Sarra Houidi, Dominique Fourer, François Auger, Houda Ben Attia Sethom, Laurence Miègeville
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2021-05-01
Colección:	Energies
Materias:	Non-Intrusive Load Monitoring (NILM) Home Electrical Appliances (HEAs) identification feature selection transfer learning deep learning
Acceso en línea:	https://www.mdpi.com/1996-1073/14/9/2726
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!