论文标题
郊游停电：纽约市的实时和预测性社会人口统计学分析
Outing Power Outages: Real-time and Predictive Socio-demographic Analytics for New York City
论文作者
论文摘要
尽管技术创新和电力配电基础设施的改进，但仍会发生电停机时间。在本文中，我们描述了一种工具，该工具旨在自2020年7月以来收购和收集纽约市电力停电的数据。然后在前端应用程序上显示电停机时间，该应用程序可公开可用。我们使用收集的中断数据来分析这些中断及其对电力易受伤害人群的社会经济影响。我们确定收入和中断数量之间存在略有负面关系。最后，创建了马尔可夫影响图，以更好地了解中断之间的空间和时间关系。
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.
