Hyperdimensional Symbolic Representation for Real-time Energy Infrastructure Resilience Assessment

**Abstract:** This paper introduces a novel approach to real-time resilience assessment of energy infrastructure using hyperdimensional symbolic representations (HDSR). Traditional methods struggle to incorporate the complex, interacting factors influencing resilience, particularly under cascading failure scenarios. HDSR allows us to encode diverse data types—physical properties, operational states, meteorological data, socioeconomic indicators—into compact, high-dimensional vectors, enabling rapid processing and dynamic modeling of system behavior. Our framework leverages a Multi-layered Evaluation Pipeline (MEP) with a Logic Consistency Engine, Execution Verification Sandbox, and Novelty Analysis component, culminating in a HyperScore that quantifies resilience under varying stressors. We demonstrate the feasibility and potential for significant improvement in asset prioritization and operational response through simulations of complex grid disruptions.