Article

A Zero-Trust Agentic AI Methodology for Cyber-Resilient Energy Market Clearing under Residual Cyber Contamination and Dynamic Uncertainty

2026-06-04

Abstract excerpt

<title>Abstract</title> <p>Real-time energy market clearing increasingly depends on cyber-physical data streams, including bids, measurements, dispatch acknowledgments, flexibility responses, and settlement records. When these inputs are affected by cyber contamination, degraded observability, or dynamic uncertainty, conventional clearing models may admit unreliable data, generate infeasible dispatch outcomes, di...

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Literature Corpus work: 74f1b995-beb1-5be7-9357-6e00a420da2f
DOI: 10.21203/rs.3.rs-9903418/v1

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