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Review Open access Aug 2026

Machine-Learning-Based Intelligent Safety Risk Early Warning for Live-Line Work in Distribution Networks

An early-warning framework that combines rule constraints, machine-learning estimation, probability calibration, graded response, and feedback-based updating is proposed that is intended to support earlier intervention while retaining the authority of safety codes and the decision responsibility of on-site personnel.

Y.-F. Zhou, J. Shao, Chang-Xian Bai et al. · 0 citations

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