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Filtros : "Financiado pela CAPES." "Electric Power Systems Research" Removidos: "FFLCH-FLF" "FERREIRA, GREGÓRIO FELIPE OLIVEIRA" "MENDONÇA, CLEBER RENATO" Limpar

Filtros

Artigo de periodico
Fuzzy-based approach for power smoothing of a full-converter wind turbine generator using a supercapacitor energy storage (2020)
Carvalho, Wilhiam Cesar de; Bataglioli, Rodrigo Pavanello; Fernandes, Ricardo A. S; Coury, Denis Vinicius
Source: Electric Power Systems Research. Unidade: EESC
Subjects: ENERGIA EÓLICA, ENERGIA ELÉTRICA, SISTEMAS ELÉTRICOS DE POTÊNCIA, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARVALHO, Wilhiam Cesar de et al. Fuzzy-based approach for power smoothing of a full-converter wind turbine generator using a supercapacitor energy storage. Electric Power Systems Research, v. 184, p. 1-9, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.epsr.2020.106287. Acesso em: 10 nov. 2024.
APA
Carvalho, W. C. de, Bataglioli, R. P., Fernandes, R. A. S., & Coury, D. V. (2020). Fuzzy-based approach for power smoothing of a full-converter wind turbine generator using a supercapacitor energy storage. Electric Power Systems Research, 184, 1-9. doi:10.1016/j.epsr.2020.106287
NLM
Carvalho WC de, Bataglioli RP, Fernandes RAS, Coury DV. Fuzzy-based approach for power smoothing of a full-converter wind turbine generator using a supercapacitor energy storage [Internet]. Electric Power Systems Research. 2020 ; 184 1-9.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.epsr.2020.106287
Vancouver
Carvalho WC de, Bataglioli RP, Fernandes RAS, Coury DV. Fuzzy-based approach for power smoothing of a full-converter wind turbine generator using a supercapacitor energy storage [Internet]. Electric Power Systems Research. 2020 ; 184 1-9.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.epsr.2020.106287
Artigo de periodico
Intelligent islanding detection with grid topology adaptation and minimum non-detection zone (2020)
Menezes, Thiago Souza; Fernandes, Ricardo A. S; Coury, Denis Vinicius
Source: Electric Power Systems Research. Unidade: EESC
Subjects: SISTEMAS ELÉTRICOS, APRENDIZADO COMPUTACIONAL, REDES NEURAIS, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MENEZES, Thiago Souza e FERNANDES, Ricardo A. S e COURY, Denis Vinicius. Intelligent islanding detection with grid topology adaptation and minimum non-detection zone. Electric Power Systems Research, v. 187, p. 1-10, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.epsr.2020.106470. Acesso em: 10 nov. 2024.
APA
Menezes, T. S., Fernandes, R. A. S., & Coury, D. V. (2020). Intelligent islanding detection with grid topology adaptation and minimum non-detection zone. Electric Power Systems Research, 187, 1-10. doi:10.1016/j.epsr.2020.106470
NLM
Menezes TS, Fernandes RAS, Coury DV. Intelligent islanding detection with grid topology adaptation and minimum non-detection zone [Internet]. Electric Power Systems Research. 2020 ; 187 1-10.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.epsr.2020.106470
Vancouver
Menezes TS, Fernandes RAS, Coury DV. Intelligent islanding detection with grid topology adaptation and minimum non-detection zone [Internet]. Electric Power Systems Research. 2020 ; 187 1-10.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.epsr.2020.106470

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