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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Yuan Liu, Zhengmin Kong, Tao Huang, Yang Yang, Chenjie Song, Qing-Long Han, Boyang Huang
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nature Portfolio 2026-04-01
Schriftenreihe:Scientific Reports
Schlagworte:
Beta-variational autoencoder
Soft vector-quantized variational autoencoder
Latent abstraction bridge (LAB)
Transformer
Nonintrusive load monitoring
Online-Zugang:https://doi.org/10.1038/s41598-026-48516-0
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