Assessing machine learning algorithms for improved fault location in interconnection lines of wind farms (2025)
- Authors:
- USP affiliated authors: COURY, DENIS VINICIUS - EESC ; FERNANDES, RICARDO AUGUSTO SOUZA - EESC ; GRILO, CAIO VINÍCIUS COLOZZO - EESC ; BARBALHO, PEDRO INÁCIO DE NASCIMENTO E - EESC ; LESSA, LEONARDO DA SILVA - EESC
- Unidade: EESC
- DOI: 10.1109/ISGTLA64895.2025.11371182
- Subjects: APRENDIZADO COMPUTACIONAL; ENERGIA EÓLICA; ENGENHARIA ELÉTRICA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Piscataway, NJ, USA
- Date published: 2025
- Source:
- Título: Proceedings
- Conference titles: IEEE PES Conference on Innovative Smart Grid Technologies - ISGT Latin America
-
ABNT
GRILO, Caio Vinícius Colozzo et al. Assessing machine learning algorithms for improved fault location in interconnection lines of wind farms. 2025, Anais.. Piscataway, NJ, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2025. Disponível em: https://dx.doi.org/10.1109/ISGTLA64895.2025.11371182. Acesso em: 02 abr. 2026. -
APA
Grilo, C. V. C., Barbalho, P. I. de N. e, Lessa, L. da S., Coury, D. V., & Fernandes, R. A. S. (2025). Assessing machine learning algorithms for improved fault location in interconnection lines of wind farms. In Proceedings. Piscataway, NJ, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1109/ISGTLA64895.2025.11371182 -
NLM
Grilo CVC, Barbalho PI de N e, Lessa L da S, Coury DV, Fernandes RAS. Assessing machine learning algorithms for improved fault location in interconnection lines of wind farms [Internet]. Proceedings. 2025 ;[citado 2026 abr. 02 ] Available from: https://dx.doi.org/10.1109/ISGTLA64895.2025.11371182 -
Vancouver
Grilo CVC, Barbalho PI de N e, Lessa L da S, Coury DV, Fernandes RAS. Assessing machine learning algorithms for improved fault location in interconnection lines of wind farms [Internet]. Proceedings. 2025 ;[citado 2026 abr. 02 ] Available from: https://dx.doi.org/10.1109/ISGTLA64895.2025.11371182 - Capacitor banks impact on traveling wave-based fault location in radial distribution feeders
- EMD-denoising signal applied to traveling wave-based fault location in radial distribution systems
- Fault location in radial distribution systems: comparative analysis for decomposition tools using traveling waves
- Improving fault location in wind farm interconnection lines through fault resistance estimation
- Embedded deep reinforcement learning controller for flexible load management: an approach validated in a hardware-in-the-loop platform
- Reinforcement learning solutions for microgrid control and management: a survey
- An analysis of different temporal window sizes and image-based features with convolutional neural networks for demand-side management
- Impacts of distributed generation on travelling wave-based fault locators in medium voltage radial feeders: an analysis for different hosting capacity scenarios
- Hardware-in-the-loop testing of a deep deterministic policy gradient algorithm as a microgrid secondary controller
- Deep reinforcement learning-based secondary control for microgrids in islanded mode
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