- By:
- Bose, Avishek ; Lee, Sangkeun M; Bhusal, Narayan ; Chinthavali, Supriya
- Page Number:
- 1-2
- Issue Number:
- IEEE 25th
- Book Title:
- IEEE 25th International Conference on Information Reuse and Integration (IRI 2024)
- Publication Date:
- March 12, 2026
- Publisher Location:
- IEEE, New Jersey, United States of America
- Conference Name:
- IEEE International Conference on Information Reuse and Integration for Data Science (IRI)
- Conference Location:
- San Jose, California, United States of America
- Conference Sponsor:
- IEEE computer society
- View DOI Listing:
- https://doi.org/10.48550/arXiv.2407.09962
Abstract
Power outages caused by extreme weather events, such as hurricanes, can significantly disrupt essential services and delay recovery efforts, underscoring the importance of enhancing our infrastructure's resilience. This study investigates the spread of power outages during hurricanes by analyzing the correlation between the network of critical infrastructure and outage propagation. We leveraged datasets from Hurricanemapping.com, the North American Energy Resilience Model Interdependency Analysis (NAERM-IA), and historical power outage data from the Oak Ridge National Laboratory (ORNL)'s EAGLE-I system. Our analysis reveals a consistent positive correlation between the extent of critical infrastructure components accessible within a certain number of steps (k-hop distance) from initial impact areas and the occurrence of power outages in broader regions. This insight suggests that understanding the interconnectedness among critical infrastructure elements is key to identifying areas indirectly affected by extreme weather events.
