dc.contributor.author | Ruan, Guangchun | |
dc.contributor.author | Wu, Dongqi | |
dc.contributor.author | Zheng, Xiangtian | |
dc.contributor.author | Zhong, Haiwang | |
dc.contributor.author | Kang, Chongqing | |
dc.contributor.author | Dahleh, Munther A | |
dc.contributor.author | Sivaranjani, S. | |
dc.contributor.author | Xie, Le | |
dc.date.accessioned | 2020-10-07T17:20:22Z | |
dc.date.available | 2020-10-07T17:20:22Z | |
dc.date.issued | 2020-09 | |
dc.date.submitted | 2020-07 | |
dc.identifier.issn | 2542-4351 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/127832 | |
dc.description.abstract | The novel coronavirus disease (COVID-19) has rapidly spread around the globe in 2020, with the US becoming the epicenter of COVID-19 cases since late March. As the US 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 US wholesale electricity markets with COVID-19 case, weather, mobile device location, and satellite imaging data. Leveraging cross-domain insights from public health and mobility data, we rigorously uncover a significant reduction in electricity consumption that is strongly correlated with the number of COVID-19 cases, degree of social distancing, and level of commercial activity. | en_US |
dc.publisher | Elsevier BV | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1016/j.joule.2020.08.017 | en_US |
dc.rights | Creative Commons Attribution-NonCommercial-NoDerivs License | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en_US |
dc.source | arXiv | en_US |
dc.title | A Cross-Domain Approach to Analyzing the Short-Run Impact of COVID-19 on the US Electricity Sector | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Ruan, Guangchun et al. "A Cross-Domain Approach to Analyzing the Short-Run Impact of COVID-19 on the US Electricity Sector." Joule (September 2020): 1-16 © 2020 Elsevier Inc. | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Institute for Data, Systems, and Society | en_US |
dc.relation.journal | Joule | en_US |
dc.eprint.version | Author's final manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dspace.date.submission | 2020-10-07T12:12:47Z | |
mit.journal.volume | 4 | en_US |
mit.license | PUBLISHER_CC | |
mit.metadata.status | Complete | |