A standard load profile (German: Standardlastprofil, SLP) is a representative pattern of energy consumption used by the German energy industry to forecast demand for customer groups that are not continuously metered. The profiles are published by the BDEW (Bundesverband der Energie- und Wasserwirtschaft e.V.) and form the basis of balancing and settlement in the German electricity and gas markets.
This package provides functions to generate standard load profiles for electricity and gas.
Electricity
slp_electricity() produces a 15-minute resolution load
profile in watts, normalised to an annual consumption of 1,000 kWh.
library(standardlastprofile)
G5 <- slp_electricity(
profile_id = "G5",
start_date = "2026-01-12",
end_date = "2026-01-18"
)
head(G5)
#> profile_id start_time end_time watts
#> 1 G5 2026-01-12 00:00:00 2026-01-12 00:15:00 50.1
#> 2 G5 2026-01-12 00:15:00 2026-01-12 00:30:00 47.4
#> 3 G5 2026-01-12 00:30:00 2026-01-12 00:45:00 44.9
#> 4 G5 2026-01-12 00:45:00 2026-01-12 01:00:00 43.3
#> 5 G5 2026-01-12 01:00:00 2026-01-12 01:15:00 43.0
#> 6 G5 2026-01-12 01:15:00 2026-01-12 01:30:00 43.8See ?slp_electricity for the full list of profile IDs,
and the electricity algorithm article
for a detailed explanation of the algorithm.
Gas
slp_gas() produces daily gas consumption in kWh. It
requires daily (mean) temperatures and a kundenwert
(customer value, kWh/day). The Kundenwert is derived once from a full
reference year with slp_gas_kundenwert(); here we pass a
known value:
dates <- seq.Date(as.Date("2026-01-12"), as.Date("2026-01-18"), by = "day")
temps <- c(-3.2, -1.8, 0.4, 2.1, 4.5, 3.8, 1.2)
slp_gas(
profile_id = "HEF",
dates = dates,
temperatures = temps,
kundenwert = 3.055241
)
#> profile_id date kwh
#> 1 HEF 2026-01-12 7.181257
#> 2 HEF 2026-01-13 6.709228
#> 3 HEF 2026-01-14 5.928369
#> 4 HEF 2026-01-15 5.297084
#> 5 HEF 2026-01-16 4.381003
#> 6 HEF 2026-01-17 4.649755
#> 7 HEF 2026-01-18 5.633867See ?slp_gas for the full list of gas profile IDs, and
the gas algorithm article for a detailed
explanation of the parameters and the algorithm.
Further reading
- Electricity SLP algorithm — in detail
- Gas SLP algorithm — SigLinDe method, Kundenwert, and climate zone comparison in detail
- SigLinDe parameters — reference tables of all SigLinDe coefficients and weekday factors