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1
Exploring the potential of a machine learning-based methodology for fault classification in inverter-based resource interconnection lines
Exploring the potential of a machine learning-based methodology for fault classification in inverter-based resource interconnection lines
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Exploring the potential of a machine learning-based methodology for fault classification in inverter-based resource interconnection lines

Moisés Junior Batista Borges Davi Mario Oleskovicz; Felipe V Lopes

Electric Power Systems Research Amsterdam, Netherlands : Elsevier, 2023 v. 223, Article number 109532, p. 1-9, 2023

Amsterdam, Netherlands Elsevier 2023

Localização: EESC - Esc. Engenharia de São Carlos    (PROD-026057 )(Acessar)

2
Investigating the potential of Machine Learning for fault location on Inverter-Based Resource interconnection lines insights and recommendations
Investigating the potential of Machine Learning for fault location on Inverter-Based Resource interconnection lines insights and recommendations
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Investigating the potential of Machine Learning for fault location on Inverter-Based Resource interconnection lines insights and recommendations

Moisés Junior Batista Borges Davi Rodrigo de Barros Iscuissati; Mario Oleskovicz; Felipe V Lopes

Electric Power Systems Research Amsterdam, Netherlands : Elsevier, 2024 v. 231, Article number 110366, p. 1-8, 2024

Amsterdam, Netherlands 2024

Localização: EESC - Esc. Engenharia de São Carlos    (PROD-027125 )(Acessar)

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Deste Autor:

  1. Davi, M
  2. Lopes, F
  3. Oleskovicz, M
  4. Iscuissati, R

Neste Assunto:

  1. Engenharia Elétrica
  2. Falha
  3. Processamento De Sinais
  4. Aprendizado Computacional
  5. Inteligência Artificial

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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