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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |