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pro vyhledávání: '"Victor Rios Silva"'
Autor:
Francisco Jonatas Siqueira Coelho, Allan Rivalles Souza Feitosa, André Luís Michels Alcântara, Kaifeng Li, Ronaldo Ferreira Lima, Victor Rios Silva, Abel Guilhermino da Silva-Filho
Publikováno v:
Energies, Vol 16, Iss 13, p 4971 (2023)
The most common methods to detect non-technical losses involve Deep Learning-based classifiers and samples of consumption remotely collected several times a day through Smart Meters (SMs) and Advanced Metering Infrastructure (AMI). This approach requ
Externí odkaz:
https://doaj.org/article/5dcbd669f2704edcb6a094654b6a0786
Autor:
Silva-Filho, Francisco Jonatas Siqueira Coelho, Allan Rivalles Souza Feitosa, André Luís Michels Alcântara, Kaifeng Li, Ronaldo Ferreira Lima, Victor Rios Silva, Abel Guilhermino da
Publikováno v:
Energies; Volume 16; Issue 13; Pages: 4971
The most common methods to detect non-technical losses involve Deep Learning-based classifiers and samples of consumption remotely collected several times a day through Smart Meters (SMs) and Advanced Metering Infrastructure (AMI). This approach requ