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Transformer-Based NILM With Embedded Convolutional Layers for Sequence-to-Point Energy Disaggregation

Energy disaggregation represents a fundamental approach in energy management, allowing total electrical consumption to be analyzed and broken down into individual appliances without the need for intrusive installations. Nonintrusive load monitoring (NILM) emerges as an innovative methodology in this...

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Main Authors: Simone Mari, Alvaro Hernandez, Daniel Pizarro, Fabrizio Ciancetta, Laura de Diego-Oton, Victor M. Navarro
Format: Artigo
Language:Inglês
Published: IEEE 2026-01-01
Series:IEEE Open Journal of Instrumentation and Measurement
Subjects:
Convolutional neural network (CNN)
deep learning (DL)
energy disaggregation
nonintrusive load monitoring (NILM)
transformer model
Online Access:https://ieeexplore.ieee.org/document/11535469/
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