遇见数据集

FIScH simulations supporting HydroWIRES D3

收藏
Zenodo2024-11-20 更新2026-05-26 收录
官方服务:

资源简介:

The Forecast Informed Scheduler for Hydropower (FIScH) was used to simulate hourly hydropower schedules given end-of-week storage targets, inflow forecasts, and locational marginal price forecasts. It was applied at 240 hydropower facilities in the western U.S. This release contains the FIScH simulation files, and reference facility metadata file. FIScH simulation files are provided for each facility, identified by their EIA ID in the filename. The `storage` or `ror` labels indicate whether a facility was simulated as having a storage reservoir or operating as run-of-river respectively. Short Name Unit Description time hours incremental hour within the week (1-168)* storage_sim MCM hourly storage release_spill MCM hourly spill release_turbine MCM hourly turbine release benefit_revenue dollars hourly revenue price_price dollars hourly locational marginal price (LMP) inflow_actual MCM hourly actual inflow target_storage MCM end-of-week storage target inflow_forecast_day1 MCM hourly inflow forecast initialized on day 1** inflow_forecast_day2 MCM hourly inflow forecast initialized on day 2** inflow_forecast_day3 MCM hourly inflow forecast initialized on day 3** inflow_forecast_day4 MCM hourly inflow forecast initialized on day 4** inflow_forecast_day5 MCM hourly inflow forecast initialized on day 5** inflow_forecast_day6 MCM hourly inflow forecast initialized on day 6** inflow_forecast_day7 MCM hourly inflow forecast initialized on day 7** week_commencing date date at the start of the week forecast N/A inflow forecast type*** * the dataset contains entries for hours `0` and `169` that are used to initialize the start of a new week with the previous week. these rows can be removed for most analyses ** hourly inflow forecasts contain prepended observed inflows for the days prior to the start of the forecast *** the three types found in this dataset - perfect: simulated observed inflows; persistence: fixed at the last hour of the previous day; synthetic: developed to have skill between perfect and persistence The FIScH simulations were perfomed with perfect LMPs, produced by GO-WEST, and three different inflow forecasts. These simulations support Broman et al., 2025.

提供机构:
Zenodo
创建时间:
2024-11-20
二维码
社区交流群
二维码
科研交流群
商业服务