Views provided by UsageCounts
This is the dataset underpinning the paper "Multiscale Effects Can Mask the Impact of the COVID-19 Pandemic on Electricity Demand" submitted to the journal Applied Energy in May of 2021. Information about the paper as well as the supporting code used to process and analyze the data can be found at: https://github.com/IMMM-SFA/burleyson-etal_2021_applied_energy.
This research was supported by the U.S. Department of Energy, Office of Science, as part of research in the MultiSector Dynamics, Earth and Environmental System Modeling Program. Pacific Northwest National Laboratory is a multi-program national laboratory operated by Battelle for the U.S. Department of Energy under Contract DE-AC05-76RL01830.
COVID-19; electricity demand; customer class; load profiles; load forecasting
COVID-19; electricity demand; customer class; load profiles; load forecasting
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 59 |

Views provided by UsageCounts