Real World and Synthetic Datasets from "Predicting Extreme Weather-Induced Outages in Distribution Networks Using Graph-Based Neural Network Models"

This contains synthetically generated distribution networks and weather data, as well as real world weather data that was use to trained the model in the paper "Predicting Extreme Weather-Induced Outages in Distribution Networks Using Graph-Based Neural Network Models".<br>Six synthetic distribution networks were generated, using NREL Shift in Orange County, FL and consist of mainly urban topologies. Synthetic weather events were generated using uniform distributions for weather features to explore a range of potential conditions. Wind speeds were sampled from 0 to 120 mph, and precipitation levels were sampled from 0 to 70 mm. Real-world weather events were selected from the NOAA Storm Events Database. The selected events included tropical storms, flash floods, and high winds in Orlando, FL.