Input data frame must have columns consumption, production.
Output data frame has extra columns net, local, imported, exported.
Column net is positive when there is more consumption than production
Examples
df <- dplyr::select(
energy_profiles,
datetime,
production = solar,
consumption = building
)
head(df)
#> # A tibble: 6 × 3
#> datetime production consumption
#> <dttm> <dbl> <dbl>
#> 1 2023-01-01 00:00:00 0 2.61
#> 2 2023-01-01 00:15:00 0 2.42
#> 3 2023-01-01 00:30:00 0 2.23
#> 4 2023-01-01 00:45:00 0 2.04
#> 5 2023-01-01 01:00:00 0 1.85
#> 6 2023-01-01 01:15:00 0 1.78
head(get_energy_balance(df))
#> # A tibble: 6 × 7
#> datetime production consumption net local imported exported
#> <dttm> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 2023-01-01 00:00:00 0 2.61 2.61 0 2.61 0
#> 2 2023-01-01 00:15:00 0 2.42 2.42 0 2.42 0
#> 3 2023-01-01 00:30:00 0 2.23 2.23 0 2.23 0
#> 4 2023-01-01 00:45:00 0 2.04 2.04 0 2.04 0
#> 5 2023-01-01 01:00:00 0 1.85 1.85 0 1.85 0
#> 6 2023-01-01 01:15:00 0 1.78 1.78 0 1.78 0