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#

transmission-lines

Here are 22 public repositories matching this topic...

Hybrid CNN-LSTM deep learning model for electrical fault classification in power transmission lines. Achieves 78% accuracy across 6 fault types using time-series analysis. Includes complete ML pipeline with preprocessing, training, and evaluation tools. Built with TensorFlow & Keras.

  • Updated Feb 14, 2026
  • Python

Detecção, classificação e localização de faltas em linhas de transmissão a partir de simulações ATP/ATPDraw, usando atributos físicos e machine learning. Projeto de Iniciação Científica (PIBIC) — UFPI.

  • Updated Aug 27, 2026
  • Python

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