Electrical outages continue to occur despite technological innovations and improvements to electric power distribution infrastructure. In this paper, we describe a tool that was designed to acquire and collect data on electric power outages in New York City since July 2020. The electrical outages are then displayed on a front-end application, which is publicly available. We use the collected outage data to analyze these outages and their socio-economic impacts on electricity vulnerable population groups. We determined that there was a slightly negative linear relationship between income and number of outages. Finally, a Markov Influence Graph was created to better understand the spatial and temporal relationships between outages.
@article{arxiv.2202.11066,
title = {Outing Power Outages: Real-time and Predictive Socio-demographic Analytics for New York City},
author = {Samuel Eckstrom and Graham Murphy and Eileen Ye and Samrat Acharya and Robert Mieth and Yury Dvorkin},
journal= {arXiv preprint arXiv:2202.11066},
year = {2022}
}