Extracting resilience events from utility outage data based on overlapping times and locations

Abstract

To study resilience with real data, it is necessary to group the individual outages recorded by utilities into events in which the outages bunch up and overlap due to extreme weather. We show how to automatically group utility outage data into resilience events based on their time and location. The methods work with both detailed utility outage data and EAGLE-I data.