Forecast a SNAIVE2 model

Forecast a fitted SNAIVE2 model.

Usage

# S3 method for class 'SNAIVE2'
forecast(object, new_data, specials = NULL, ...)

Arguments

object

A fitted SNAIVE2 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.

See also

Other SNAIVE2: SNAIVE2(), fitted.SNAIVE2(), model_sum.SNAIVE2(), residuals.SNAIVE2()

Examples

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("SNAIVE2" = SNAIVE2(value))

forecast(model_frame, h = 24)
#> # A fable: 24 x 4 [1h] <UTC>
#> # Key:     .model [1]
#>    .model  time               
#>    <chr>   <dttm>             
#>  1 SNAIVE2 2019-01-22 00:00:00
#>  2 SNAIVE2 2019-01-22 01:00:00
#>  3 SNAIVE2 2019-01-22 02:00:00
#>  4 SNAIVE2 2019-01-22 03:00:00
#>  5 SNAIVE2 2019-01-22 04:00:00
#>  6 SNAIVE2 2019-01-22 05:00:00
#>  7 SNAIVE2 2019-01-22 06:00:00
#>  8 SNAIVE2 2019-01-22 07:00:00
#>  9 SNAIVE2 2019-01-22 08:00:00
#> 10 SNAIVE2 2019-01-22 09:00:00
#> # ℹ 14 more rows
#> # ℹ 2 more variables: value <dist>, .mean <dbl>