A Systematic Evaluation of Machine Learning Methods for Fault Detection and Line Identification in Electrical Power Grids

arXiv:2609.16744 · cs.LG, eess.SP · Submitted 2026-09-15 · Read on arXiv

cs.LG, eess.SP

Submitted: 2026-09-15

Updated: 2026-09-15

Comments: Accepted at ICASSP 2025. 5 pages, 4 figures. Published version: DOI 10.1109/ICASSP49660.2025.10890544

Journal ref: ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025, pp. 1-5

DOI: 10.1109/ICASSP49660.2025.10890544

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• F1 Score — 14× in this paper · explained in 3 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Clustering — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Domain Shift — 1× in this paper · explained in 4 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Histogram-based Gradient Boosting — 1× in this paper
• K-Nearest Neighbors — 1× in this paper
• Multi-Layer Perceptron — 1× in this paper
• Random Forest — 1× in this paper
• Support Vector Machines — 1× in this paper
• Transferability — 1× in this paper · explained in 4 episodes

Related papers

• Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
• AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
• Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
• Convergence issues in Relational Concept Analysis based on AOC-posets
• Beliefs Beyond Posteriors: Local-Consistency Optimisation for Bayesian Neural Networks
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks