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

Autor:	Eckstrom, Samuel, Murphy, Graham, Ye, Eileen, Acharya, Samrat, Mieth, Robert, Dvorkin, Yury
Rok vydání:	2022
Předmět:	Computer Science - Computers and Society
Druh dokumentu:	Working Paper
Popis:	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. Comment: Accepted for the 2022 IEEE PES General Meeting
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2202.11066 Zobrazit plný text záznamu View this record from Arxiv