Description Usage Arguments Details Value See Also
View source: R/forecast_methods.R
Generates an intra-hourly persistence ensemble forecast, using a few recent hours to generate a clear-sky index ensemble. The clear-sky index ensemble is multiplied by the upcoming clear-sky GHI to generate a GHI ensemble, transformed to a full probabilistic forecast using an empirical CDF.
1 2 | forecast_PeEn_intrahour(GHI, percentiles, sun_up, clearsky_GHI,
ts_per_hour, nhours)
|
GHI |
A vector of telemetry |
percentiles |
A vector of the percentiles corresponding to the desired forecast quantiles |
sun_up |
A vector of logicals, indicating whether the sun is up |
clearsky_GHI |
a vector of clear-sky irradiance estimates |
ts_per_hour |
Time-steps per hour, e.g., 12 for a 5-minute resolution forecast |
nhours |
Number of preceeding hours to collect training errors from, e.g., 1 or 2 |
Valid for intra-hourly forecasts. For hourly resolution forecasts, see
forecast_PeEn_hourly
. While training data is being collected at
the beginning of the day, forecast starts as deterministic clear-sky forecast
and gathers CSI's for the ensemble starting after the 1st hour. This function is for hindcasting only, and
uses the same clear-sky GHI estimates for both the historical and forecast
values.
a matrix of quantile forecasts at each valid time in the input data
Other forecast functions: forecast_CH_PeEn
,
forecast_Gaussian_hourly
,
forecast_Gaussian_intrahour
,
forecast_NWP
,
forecast_PeEn_hourly
,
forecast_climatology
,
forecast_mcm
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