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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 ...
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 ...
Load disaggregation using microscopic power features and pattern recognition
(2019-01-01)
A new generation of smart meters are called cognitive meters, which are essentially based on Artificial Intelligence (AI) and load disaggregation methods for Non-Intrusive Load Monitoring (NILM). Thus, modern NILM may ...
Arquitetura unificada para detecção, extração de características e classificação em sinais de NILM
(Universidade Tecnológica Federal do ParanáCuritibaBrasilBacharelado em Engenharia de ComputaçãoUTFPR, 2021-12-03)
In the subsequent decades, the increasing energy will demand renewable resources and intelligent solutions for managing consumption. In this sense, Non-Intrusive Load Monitoring (NILM) techniques detail consumption information ...
End-to-end NILM system using high frequency data and neural networks.
(arXiv, 2020)
Improving energy efficiency is a necessity in the fight against climate change. Non Intrusive Load Monitoring (NILM) systems give important information about the household consumption that can be used by the electric utility ...
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)
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 ...