fc_bma: A BMA forecast

In kdayday/forecasting: Probabilistic Solar Forecsting

Description

Initialize a univariate probabilistic power forecast for a specific time point using Bayesian model averaging (BMA)

Usage

fc_bma(data.input, location, time, model, max_power, bma_distribution, ...)

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
max_power	Maximum power for normalizing forecast to [0,1]
bma_distribution	One of "beta", "truncnorm" –> determines the type of distribution used for each member's kernel dressing
...	Additional parameters

Value

A probabilistic forecast object

See Also

Other forecast classes: fc_binned, fc_emos, fc_empirical

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