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.
· Advanced Electromagnetics · 0 citations