Buscar
Mostrando ítems 1-10 de 54
NILM-based approach for energy efficiency assessment of household appliances
(2020-12-01)
This paper presents a novel Non-Intrusive Load Monitoring (NILM) approach focusing on the Energy Efficiency (EE) assessment of residential appliances. This approach (NILMEE) is able to identify the individual consumption ...
Classificação de eventos em monitoramento NILM de cargas elétricas residenciais utilizando rede neural convolucional
(Universidade Federal de Santa MariaBrasilEngenharia ElétricaUFSMPrograma de Pós-Graduação em Engenharia ElétricaCentro de Tecnologia, 2019-10-22)
In the context of the expected advances with the implementation of Smart Grids, enabling the modernization of the electricity billing system and making the management of residential electric power systems attractive, the ...
Rede neural convolucional aplicada à identificação de equipamentos residenciais para sistemas de monitoramento não-intrusivo de cargaConvolutional neural network applied to the identification of residential equipment for non-intrusive load monitoring systems
(Universidade Federal do ParáBrasilInstituto de TecnologiaUFPAPrograma de Pós-Graduação em Engenharia Elétrica, 2018)
Herramienta para identificación no intrusiva de cargas eléctricas residencialesNon-intrusive identification tool for residential electric charges
(Barranquilla, Universidad del Norte, 2016., 2017)
Reconhecimento não-intrusivo de equipamentos elétricos empregando projeção vetorial
(Universidade Federal de Santa MariaBREngenharia ElétricaUFSMPrograma de Pós-Graduação em Engenharia Elétrica, 2016-02-19)
Electricity consumption in homes and workplaces has been growing steadily over the
decades and attitudes to reduce these costs should be taken. An interesting solution is to provide
to electricity users, and also to the ...
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 ...
Non-Intrusive Electric Load identification using Wavelet Transform
(Universidad Nacional de Colombia - Sede Bogotá - Facultad de Ingeniería, 2018-05-01)
This paper shows the development of a decision tree for the classification of loads in a non-intrusive load monitoring (NILM) system implemented in a simple board computer (Raspberry Pi 3). The decision tree uses the total ...