
This dataset provides both monthly and weekly constraints (maximum and minimum generation) and power targets for hundreds of hydropower plants across the United States. The data is intended for use in Production Cost Models (PCMs) and Capacity Expansion Models (CEMs). The hydropower data is based on disaggregated annual power data which is part of the EIA-923 dataset. The code to reproduce this data is available here: https://github.com/HydroWIRES-PNNL/B1-data The original disaggregation procedure is detailed here: https://www.nature.com/articles/s41597-022-01748-xhttps://github.com/immm-sfa/turner_voisin_nelson_2022_scientific_datahttps://github.com/pnnl/hydrofixr A paper describing the weekly data is in preperation. Corresponding author: cameron.bracken@pnnl.gov, nathalie.voisin@pnnl.gov Version 1.3.0 Uses RectiHyd 1.3 which includes several hundred new observed data locations from a variety of sources Version 1.2.0 Adds hydro plant data (forebay, inflow, outflow) for some Pacific Northwest plants and HUC4 flow data for most plants Version 1.1.2 Updates the data using final EIA 2022 data Version 1.1.1 Fixes the zip format Version 1.1.0 Extends the data to 2022 using updated versions of the underlying data
| 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). | 3 | |
| 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. | Top 10% | |
| 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 |
