Subfunction to get EMOS model for individual time-point using sliding or time-of-day training
1 2 | train_emos_subfunc(step, t_idx_series, issue, ensemble, telemetry, sun_up,
site, max_power, metadata)
|
step |
Step (index) in this forecast run |
t_idx_series |
Series of time indices in forecast run, relative to the telemetry time indices |
issue |
Time stamp of issue time |
ensemble |
A list of data=[issue x step x member] array of all ensemble data (historical + test) and issuetime=vector of POSIXct time stamps |
telemetry |
A list of data=vector of telemetry and validtime=vector of POSIXct times |
sun_up |
A vector of booleans, indexed by telemetry valid times |
site |
String, site name |
max_power |
Site's AC power rating or maximum load |
metadata |
A data.frame of forecast parameters |
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