Accurate and efficient operational risk prediction is critical for modern power systems facing dynamic unit commitment and renewable integration. Existing machine learning and deep learning approaches ...

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Abstract: In recent years, probabilistic data-driven methods have been gaining popularity for the study of cascading failures in power systems. These data-driven models are well-suited for analysis of ...

ProPEX-RAG is a prompt-driven, entity-guided RAG framework that emphasizes the role of prompt design in improving retrieval and reasoning across large knowledge graphs. Our approach unifies symbolic ...