Latent abstraction bridge transformer for generalizable nonintrusive load monitoring

Abstract Nonintrusive load monitoring (NILM) is an effective approach for energy management that disaggregates the total power measured at the main power inlet into appliance-level power signals. NILM algorithms have achieved remarkable progress in recent years. However, accurately reconstructing ap...

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Hlavní autoři:	Yuan Liu, Zhengmin Kong, Tao Huang, Yang Yang, Chenjie Song, Qing-Long Han, Boyang Huang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2026-04-01
Edice:	Scientific Reports
Témata:	Beta-variational autoencoder Soft vector-quantized variational autoencoder Latent abstraction bridge (LAB) Transformer Nonintrusive load monitoring
On-line přístup:	https://doi.org/10.1038/s41598-026-48516-0
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