ELECTRIcity: An Efficient Transformer for Non-Intrusive Load Monitoring

Non-Intrusive Load Monitoring (NILM) describes the process of inferring the consumption pattern of appliances by only having access to the aggregated household signal. Sequence-to-sequence deep learning models have been firmly established as state-of-the-art approaches for NILM, in an attempt to ide...

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Detalles Bibliográficos
Autores principales: Sykiotis, Stavros, Kaselimi, Maria, Doulamis, Anastasios, Doulamis, Nikolaos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028578/
https://www.ncbi.nlm.nih.gov/pubmed/35458907
http://dx.doi.org/10.3390/s22082926

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028578/
https://www.ncbi.nlm.nih.gov/pubmed/35458907
http://dx.doi.org/10.3390/s22082926

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