Forecast a TBATS model

Forecast a fitted TBATS model.

Usage

# S3 method for class 'TBATS'
forecast(object, new_data, specials = NULL, ...)

Arguments

object

A fitted TBATS model object.

new_data

A tsibble containing future time points.

specials

Parsed specials. Currently not used.

...

Additional arguments. Currently not used.

Value

A vector of forecast distributions.

Details

This method is used by forecast() when forecasting a mable containing a TBATS model.

See also

Other TBATS: TBATS(), fitted.TBATS(), model_sum.TBATS(), residuals.TBATS()

Examples

# \donttest{
library(dplyr)
library(tsibble)
library(fabletools)

train_frame <- elec_price |>
  filter(bidding_zone == "DE") |>
  slice_head(n = 24 * 21) |>
  as_tsibble(index = time)

model_frame <- train_frame |>
  model("TBATS" = TBATS(value, periods = c(24, 168)))

forecast(model_frame, h = 24)
#> # A fable: 24 x 4 [1h] <UTC>
#> # Key:     .model [1]
#>    .model time               
#>    <chr>  <dttm>             
#>  1 TBATS  2019-01-22 00:00:00
#>  2 TBATS  2019-01-22 01:00:00
#>  3 TBATS  2019-01-22 02:00:00
#>  4 TBATS  2019-01-22 03:00:00
#>  5 TBATS  2019-01-22 04:00:00
#>  6 TBATS  2019-01-22 05:00:00
#>  7 TBATS  2019-01-22 06:00:00
#>  8 TBATS  2019-01-22 07:00:00
#>  9 TBATS  2019-01-22 08:00:00
#> 10 TBATS  2019-01-22 09:00:00
#> # ℹ 14 more rows
#> # ℹ 2 more variables: value <dist>, .mean <dbl>
# }