Outing Power Outages: Real-time and Predictive Socio-demographic Analytics for New York City

• URL: http://arxiv.org/abs/2202.11066v1
• Date: Tue, 22 Feb 2022 17:51:00 GMT
• Title: Outing Power Outages: Real-time and Predictive Socio-demographic Analytics for New York City
• Authors: Samuel Eckstrom, Graham Murphy, Eileen Ye, Samrat Acharya, Robert Mieth, Yury Dvorkin
• Abstract summary: 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.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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