Load Disaggregation in Residential Appliances With Multiple States: Comparative Techniques

This study presents a comparative analysis of load disaggregation techniques applied to residential appliances with multiple operational states, aiming to enhance Non-Intrusive Load Monitoring (NILM) performance. Five deep learning architectures, namely Convolutional Neural Networks (CNN), Long Shor...

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Hlavní autoři:	Carlos Alejandro Urzagasti, Isaac Soares De Freitas, Oswaldo Hideo Ando Junior, Euzeli Cipriano Dos Santos, Fabiano Salvadori
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2026-01-01
Edice:	IEEE Access
Témata:	Non-intrusive load monitoring load disaggregation deep learning multi-state appliances energy efficiency smart grids
On-line přístup:	https://ieeexplore.ieee.org/document/11460106/
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