StormImpact’s National Storm Outage Model

Storms can cause significant damage to the electrical power system, leading to prolonged power interruptions to a large number of customers. The number of weather-related outages in the United States has increased significantly in recent years. This presentation summarizes the data-driven machine learning power outage models that StormImpact has developed and deployed for the continental United States (CONUS). The National Storm Outage Model (NSOM) provides predictions for all locations in CONUS at the county level based on publicly available data sources. These models can be used by electrical utilities (including municipals or coops), federal and state agencies, emergency preparedness organizations, and businesses and individuals. Here we provide an overview of model development and validation. We also highlight our approach for quantifying and communicating uncertainty. We will highlight the key features of the National Storm Outage Model using case studies from recent impactful storms in 2024.