Multi-Year County-Level Dataset on Extreme Weather, Power Outages, and Grid Resilience: Statistical Processing and SOM-Based Clustering
This dataset contains weather and power outage data aggregated at the county level, supporting the analysis of extreme weather events and their impact on grid reliability. It includes variables such as temperature, wind speed, gusts, precipitation, and outage duration.The data has been preprocessed by handling missing values, applying log transformations where necessary, and performing statistical aggregations. Clustering is performed using Self-Organizing Maps (SOM) to identify patterns in outage severity and associated weather conditions.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-03-13
- DOI
- https://doi.org/10.5281/zenodo.15020294
- Primary Topic
- Power System Reliability and Maintenance
- Type
- article
- Field-Weighted Citation Impact
- 0.00