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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...

Deskribapen osoa

Gorde:
Egile Nagusiak: Simone Mari, Alvaro Hernandez, Daniel Pizarro, Fabrizio Ciancetta, Laura de Diego-Oton, Victor M. Navarro
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: IEEE 2026-01-01
Saila:IEEE Open Journal of Instrumentation and Measurement
Gaiak:
Convolutional neural network (CNN)
deep learning (DL)
energy disaggregation
nonintrusive load monitoring (NILM)
transformer model
Sarrera elektronikoa:https://ieeexplore.ieee.org/document/11535469/
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