Resilience Assessment for Distribution Systems during Hurricanes: A Learning-Based Framework
Published in 2024 IEEE Power & Energy Society General Meeting (PESGM), 2024
This paper presents a novel learning-based framework for assessing the resilience of electrical distribution systems during hurricane events. The framework leverages machine learning techniques to predict system vulnerabilities and optimize restoration strategies, contributing to improved grid resilience planning.
Recommended citation: S. Vahedi, J. Zhao, J. Dong, B. Wang, and J. Lian, "Resilience Assessment for Distribution Systems during Hurricanes: A Learning-Based Framework," in 2024 IEEE Power & Energy Society General Meeting (PESGM), Jul. 2024, pp. 1–5. doi: 10.1109/PESGM51994.2024.10688425.
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