Silva, Mauricio Pavani da 
; Lopes, Gabriela Nunes ; Vieira Júnior, José Carlos de Melo
Source: Electric Power Systems Research. Unidade: EESC
Subjects: APRENDIZADO COMPUTACIONAL, FALHA, DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Mauricio Pavani da e LOPES, Gabriela Nunes e VIEIRA JÚNIOR, José Carlos de Melo. A feature selection and generalization analysis for high impedance fault classification based on Support Vector Machine. Electric Power Systems Research, v. 251, p. 1-7, 2026Tradução . . Disponível em: http://dx.doi.org/10.1016/j.epsr.2025.112308. Acesso em: 03 jan. 2026.APA
Silva, M. P. da, Lopes, G. N., & Vieira Júnior, J. C. de M. (2026). A feature selection and generalization analysis for high impedance fault classification based on Support Vector Machine. Electric Power Systems Research, 251, 1-7. doi:10.1016/j.epsr.2025.112308NLM
Silva MP da, Lopes GN, Vieira Júnior JC de M. A feature selection and generalization analysis for high impedance fault classification based on Support Vector Machine [Internet]. Electric Power Systems Research. 2026 ; 251 1-7.[citado 2026 jan. 03 ] Available from: http://dx.doi.org/10.1016/j.epsr.2025.112308Vancouver
Silva MP da, Lopes GN, Vieira Júnior JC de M. A feature selection and generalization analysis for high impedance fault classification based on Support Vector Machine [Internet]. Electric Power Systems Research. 2026 ; 251 1-7.[citado 2026 jan. 03 ] Available from: http://dx.doi.org/10.1016/j.epsr.2025.112308
