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Mostrando ítems 11-20 de 25
Feature extraction for nonintrusive load monitoring based on S-Transform
(2014-05-01)
The electric energy demand is dramatically growing worldwide and demand reduction emerges as an outstanding strategy; it implies detailed information about the electricity consumption, namely load disaggregation. Typical ...
NILM : Multivariate DNN performance analysis with high frequency features
(IEEE, 2021)
In recent years we have seen deep neural networks (DNNs) appear in almost every signal processing problem. Non Intrusive Load Monitoring (NILM) was not an exception. A detailed evaluation of the supervised deep learning ...
NILMEV : Electric Vehicle disaggregation for residential customer energy efficiency incentives
(IEEE, 2023)
Due to its impact on household energy use and the adoption of renewable energies, the intelligent management of the power consumption of electric vehicles (EVs) is of great relevance. In the context of widespread clean ...
Monitoreo no intrusivo de cargas eléctricas (NILM).
(Udelar.FI., 2020)
En un contexto donde la sostenibilidad del planeta es una preocupación global, la eficiencia energética toma vital importancia y abarca diversas aristas, dependiendo varias de ellas del uso y generación de información de ...
Simulación y análisis de la interferencia electromagnética aplicada a la desagregación de cargas en sistemas de monitoreo no intrusivo de cargas
(Universidad Michoacana de San Nicolás de Hidalgo, 2015-08)
The use of electricity is essential in today's society. Most devices that are used in industries, homes, hospitals and transport, among others, require from it for the correct operation. This dependence on electrical devices ...
Estrutura de redes neurais auto-associativas aplicadas ao processo de identificação de equipamentos elétricos em sistemas de monitoramento não intrusivo de cargasStructure of self-associative neural networks applied to the electrical equipment identification process in non-intrusive load monitoring systems.
(Universidade Federal do ParáBrasilInstituto de TecnologiaUFPAPrograma de Pós-Graduação em Engenharia Elétrica, 2020)