Source: Electric Power Systems Research. Unidade: EESC
Subjects: APRENDIZADO COMPUTACIONAL, FONTES RENOVÁVEIS DE ENERGIA, FALHA, ENGENHARIA ELÉTRICA
ABNT
DAVI, Moisés Junior Batista Borges et al. Investigating the potential of Machine Learning for fault location on Inverter-Based Resource interconnection lines: insights and recommendations. Electric Power Systems Research, v. 231, p. 1-8, 2024Tradução . . Disponível em: https://dx.doi.org/10.1016/j.epsr.2024.110366. Acesso em: 05 out. 2024.APA
Davi, M. J. B. B., Iscuissati, R. de B., Oleskovicz, M., & Lopes, F. V. (2024). Investigating the potential of Machine Learning for fault location on Inverter-Based Resource interconnection lines: insights and recommendations. Electric Power Systems Research, 231, 1-8. doi:10.1016/j.epsr.2024.110366NLM
Davi MJBB, Iscuissati R de B, Oleskovicz M, Lopes FV. Investigating the potential of Machine Learning for fault location on Inverter-Based Resource interconnection lines: insights and recommendations [Internet]. Electric Power Systems Research. 2024 ; 231 1-8.[citado 2024 out. 05 ] Available from: https://dx.doi.org/10.1016/j.epsr.2024.110366Vancouver
Davi MJBB, Iscuissati R de B, Oleskovicz M, Lopes FV. Investigating the potential of Machine Learning for fault location on Inverter-Based Resource interconnection lines: insights and recommendations [Internet]. Electric Power Systems Research. 2024 ; 231 1-8.[citado 2024 out. 05 ] Available from: https://dx.doi.org/10.1016/j.epsr.2024.110366