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

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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.

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Power Interpretable Causal ODE Networks: A Unified Model for Explainable Anomaly Detection and Root Cause Analysis in Power Systems | ArXiv Intelligence