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Filtros : "Fernandes, Ricardo A. S" "BORGES, FÁBBIO ANDERSON SILVA" Removido: "Serrao, Paula R. M. S" Limpar

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  • Trabalho de evento

    Feature extraction-based method for voltage sag source location in the context of smart grids (2017)

    Borges, Fábbio Anderson Silva; Silva, Ivan Nunes da ; Fernandes, Ricardo A. S

    Source: Advances in Intelligent Systems and Computing -AISC. Conference titles: International Conference Distributed Computing and Artificial Intelligence. Unidade: EESC

    Subjects: ENERGIA ELÉTRICA, REDES DE DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, ALGORITMOS

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    • ABNT

      BORGES, Fábbio Anderson Silva e SILVA, Ivan Nunes da e FERNANDES, Ricardo A. S. Feature extraction-based method for voltage sag source location in the context of smart grids. 2017, Anais.. Cham: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2017. Disponível em: http://dx.doi.org/10.1007/978-3-319-62410-5_9. Acesso em: 30 set. 2024.

    • APA

      Borges, F. A. S., Silva, I. N. da, & Fernandes, R. A. S. (2017). Feature extraction-based method for voltage sag source location in the context of smart grids. In Advances in Intelligent Systems and Computing -AISC. Cham: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-319-62410-5_9

    • NLM

      Borges FAS, Silva IN da, Fernandes RAS. Feature extraction-based method for voltage sag source location in the context of smart grids [Internet]. Advances in Intelligent Systems and Computing -AISC. 2017 ;[citado 2024 set. 30 ] Available from: http://dx.doi.org/10.1007/978-3-319-62410-5_9

    • Vancouver

      Borges FAS, Silva IN da, Fernandes RAS. Feature extraction-based method for voltage sag source location in the context of smart grids [Internet]. Advances in Intelligent Systems and Computing -AISC. 2017 ;[citado 2024 set. 30 ] Available from: http://dx.doi.org/10.1007/978-3-319-62410-5_9

  • Trabalho de evento

    Data analytics method based on feature extraction for voltage sag source location (2016)

    Borges, Fábbio Anderson Silva; Silva, Ivan Nunes da ; Fernandes, Ricardo A. S

    Source: Proceedings of META’2016. Conference titles: International Conference on Metaheuristics and Nature Inspired computing. Unidade: EESC

    Subjects: DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, FALHA

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    • ABNT

      BORGES, Fábbio Anderson Silva e SILVA, Ivan Nunes da e FERNANDES, Ricardo A. S. Data analytics method based on feature extraction for voltage sag source location. 2016, Anais.. Marrocos: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2016. Disponível em: https://repositorio.usp.br/directbitstream/6b8ccc16-181c-4823-80c7-2c0df941e2a9/sysno3187826_trabalho%2020.pdf. Acesso em: 30 set. 2024.

    • APA

      Borges, F. A. S., Silva, I. N. da, & Fernandes, R. A. S. (2016). Data analytics method based on feature extraction for voltage sag source location. In Proceedings of META’2016. Marrocos: Escola de Engenharia de São Carlos, Universidade de São Paulo. Recuperado de https://repositorio.usp.br/directbitstream/6b8ccc16-181c-4823-80c7-2c0df941e2a9/sysno3187826_trabalho%2020.pdf

    • NLM

      Borges FAS, Silva IN da, Fernandes RAS. Data analytics method based on feature extraction for voltage sag source location [Internet]. Proceedings of META’2016. 2016 ;[citado 2024 set. 30 ] Available from: https://repositorio.usp.br/directbitstream/6b8ccc16-181c-4823-80c7-2c0df941e2a9/sysno3187826_trabalho%2020.pdf

    • Vancouver

      Borges FAS, Silva IN da, Fernandes RAS. Data analytics method based on feature extraction for voltage sag source location [Internet]. Proceedings of META’2016. 2016 ;[citado 2024 set. 30 ] Available from: https://repositorio.usp.br/directbitstream/6b8ccc16-181c-4823-80c7-2c0df941e2a9/sysno3187826_trabalho%2020.pdf

  • Trabalho de evento

    Classification of power quality disturbances using forest algorithm (2016)

    Borges, Fábbio Anderson Silva; Silva, Ivan Nunes da ; Fernandes, Ricardo A. S ; Moraes, Lucas

    Source: Proceedings. Conference titles: International Conference Data Mining and Big Data - DMBD. Unidade: EESC

    Subjects: ENERGIA ELÉTRICA, SISTEMAS ELÉTRICOS, BIG DATA, APRENDIZADO COMPUTACIONAL, ALGORITMOS

    PrivadoAcesso à fonteDOIHow to cite
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    • ABNT

      BORGES, Fábbio Anderson Silva et al. Classification of power quality disturbances using forest algorithm. 2016, Anais.. Cham: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2016. Disponível em: http://dx.doi.org/10.1007/978-3-319-40973-3_24. Acesso em: 30 set. 2024.

    • APA

      Borges, F. A. S., Silva, I. N. da, Fernandes, R. A. S., & Moraes, L. (2016). Classification of power quality disturbances using forest algorithm. In Proceedings. Cham: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-319-40973-3_24

    • NLM

      Borges FAS, Silva IN da, Fernandes RAS, Moraes L. Classification of power quality disturbances using forest algorithm [Internet]. Proceedings. 2016 ;[citado 2024 set. 30 ] Available from: http://dx.doi.org/10.1007/978-3-319-40973-3_24

    • Vancouver

      Borges FAS, Silva IN da, Fernandes RAS, Moraes L. Classification of power quality disturbances using forest algorithm [Internet]. Proceedings. 2016 ;[citado 2024 set. 30 ] Available from: http://dx.doi.org/10.1007/978-3-319-40973-3_24
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