Power Interpretable Causal ODE Networks: A Unified Model for Explainable Anomaly Detection and Root Cause Analysis in Power Systems
By: Yue Sun, Likai Wang, Rick S. Blum, Parv Venkitasubramaniam
Published: 2026-02-17
View on arXiv →#cs.AI
Abstract
This paper proposes a unified model, Power Interpretable Causal ODE Networks, for explainable anomaly detection and root cause analysis specifically in power systems. This research has critical real-world applications in enhancing the reliability and security of power grids by providing transparent insights into system failures and anomalies.