The AGU 2021 Fall meeting just wrapped up in New Orleans, and it was quite interesting to be there. It was a ‘hybrid’ conference with both in-person and online elements. It was a great chance to present our work in-person and online, and connect with other people in the field.
Check out the video below of what we presented. It describes the process of developing a machine learning-based weather-related power outage prediction model specifically for high impact storms. These storms are generally difficult to get right because they’re so rare and diverse, but our model seems to be able to understand the pertinent processes well enough to accurately predict the impacts of the biggest storms that have affected the Northeastern US in the past decade.