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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...

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Principais autores: Stavros Sykiotis, Maria Kaselimi, Anastasios Doulamis, Nikolaos Doulamis
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2022-04-01
Serier:Sensors
Fag:
NILM
non-intrusive load monitoring
transformers
energy disaggregation
imbalanced data
deep learning
Online adgang:https://www.mdpi.com/1424-8220/22/8/2926
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