论文标题
一种跨域方法，用于分析Covid-19对美国电力部门的短期影响
A Cross-Domain Approach to Analyzing the Short-Run Impact of COVID-19 on the U.S. Electricity Sector
论文作者
论文摘要
自3月下旬以来，新型冠状病毒病（Covid-19）已于2020年迅速蔓延到全球，美国成为Covid-19病例的中心。随着美国开始逐步恢复经济活动，决策者和电力系统运营商必须采用科学的方法来理解和预测对电力部门的影响。在这里，我们发布了一个首先的跨域开放访问数据中心，将来自美国所有现有的美国批发电力市场的数据与Covid-19案例，天气，蜂窝位置和卫星成像数据集成在一起。利用公共卫生和流动性数据中的跨域见解，我们发现了各种电力消耗的大幅度下降与共同案例的数量增加，社会疏远程度和商业活动水平密切相关。
The novel coronavirus disease (COVID-19) has rapidly spread around the globe in 2020, with the U.S. becoming the epicenter of COVID-19 cases since late March. As the U.S. begins to gradually resume economic activity, it is imperative for policymakers and power system operators to take a scientific approach to understanding and predicting the impact on the electricity sector. Here, we release a first-of-its-kind cross-domain open-access data hub, integrating data from across all existing U.S. wholesale electricity markets with COVID-19 case, weather, cellular location, and satellite imaging data. Leveraging cross-domain insights from public health and mobility data, we uncover a significant reduction in electricity consumption across that is strongly correlated with the rise in the number of COVID-19 cases, degree of social distancing, and level of commercial activity.
