calc_forecasts: Calculate a time series list of power forecasts.

In kdayday/forecasting: Probabilistic Solar Forecsting

Description

Calculate a time series list of power forecasts.

Usage

calc_forecasts(x, sun_up, start_time, time_step, scale, location, method,
  MoreTSArgs = NA, ...)

Arguments

x	A list of training data the length of the time-series. Each element should be [ntrain x 1] matrix of training data (for scale=='site') or a [ntrain x nsites] matrix for scale=='region' or 'total'
sun_up	Logical vector the length of the time-series
start_time	A lubridate time stamp
time_step	Time step in hours
scale	One of 'site', 'region', 'total'
location	A string
method	One of 'gaussian', 'empirical', 'vine'
MoreTSArgs	An optional dictionary of time-series arguments to the forecast calculation
...	optional arguments to the prob_forecast, including marginal estimator arguments

Value

A list of forecasts. Forecast is NA for times when sun is down.

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