FIScH simulations supporting HydroWIRES D3

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.