fc_emos: An EMOS forecast

In kdayday/forecasting: Probabilistic Solar Forecsting

Description

Initialize a univariate probabilistic power forecast for a specific time point using ensemble model output statistics (EMOS)

Usage

fc_emos(data.input, location, time, model, max_power, ...)

Arguments

data.input	A vector of ensemble members
location	A string
time	A lubridate time stamp
model	A pre-fit BMA model from bma_ens_models; list of a, b, c, d parameters
max_power	Maximum power for normalizing forecast to [0,1]
...	Additional parameters

Value

A probabilistic forecast object

See Also

Other forecast classes: fc_binned, fc_bma, fc_empirical

kdayday/forecasting documentation built on Oct. 7, 2020, 7:16 p.m.