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Contribuições para NILM baseadas em redes convolucionais pr..:
Aguiar, Everton Luiz de
AGUIAR, Everton Luiz de. Contribuições para NILM baseadas em redes convolucionais profundas. 2023. Tese (Doutorado em Engenharia Elétrica e Informática Industrial) - Universidade Tecnológica Federal do Paraná, Curitiba, 2023.. , 2023
Link:
http://repositorio.utfpr.edu.br/jspui/handle/1/32529
RT Journal T1
Contribuições para NILM baseadas em redes convolucionais profundas ; Contributions to NILM based on deep convolutional networks
UL https://suche.suub.uni-bremen.de/peid=base-ftunivtfp:oai:repositorio.utfpr.edu.br:1_32529&Exemplar=1&LAN=DE A1 Aguiar, Everton Luiz de PB Universidade Tecnológica Federal do Paraná; Curitiba; Brasil; Programa de Pós-Graduação em Engenharia Elétrica e Informática Industrial; UTFPR YR 2023 K1 Energia elétrica - Consumo K1 Geração de energia fotovoltaica K1 Espalhamento (Matemática) K1 Redes neurais (Computação) K1 Aprendizado profundo (Aprendizado do computador) K1 Medidores elétricos K1 Wavelets (Matemática) K1 Electric power consumption K1 Photovoltaic power generation K1 Scattering (Mathematics) K1 Neural networks (Computer science) K1 Deep learning (Machine learning) K1 Electric meters K1 Wavelets (Mathematics) K1 CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA K1 Engenharia Elétrica JF AGUIAR, Everton Luiz de. Contribuições para NILM baseadas em redes convolucionais profundas. 2023. Tese (Doutorado em Engenharia Elétrica e Informática Industrial) - Universidade Tecnológica Federal do Paraná, Curitiba, 2023. LK http://repositorio.utfpr.edu.br/jspui/handle/1/32529 DO http://repositorio.utfpr.edu.br/jspui/handle/1/32529 SF ELIB - SuUB Bremen
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