Generate a standard load profile, normalized to an annual consumption of 1,000 kWh.
Source
https://www.bdew.de/energie/standardlastprofile-strom/
https://www.bdew.de/media/documents/1999_Repraesentative-VDEW-Lastprofile.pdf
https://www.bdew.de/media/documents/2000131_Anwendung-repraesentativen_Lastprofile-Step-by-step.pdf
Arguments
- profile_id
load profile identifier, required
- start_date
start date in ISO 8601 format, required
- end_date
end date in ISO 8601 format, required
- state_code
identifier for one of 16 German states, optional
Value
A data.frame with four variables:
profile_id
, character, load profile identifierstart_time
, POSIXct / POSIXlt, start timeend_time
, POSIXct / POSIXlt, end timewatts
, numeric, electric power
Details
In regards to the electricity market in Germany, the term "Standard Load Profile" refers to a representative pattern of electricity consumption over a specific period. These profiles can be used to depict the expected electricity consumption for various customer groups, such as households or businesses.
For each distinct combination of profile_id
, period
, and day
, there
are 96 x 1/4 hour measurements of electrical power. Values are normalized so
that they correspond to an annual consumption of 1,000 kWh. That is, summing
up all the quarter-hourly consumption values for one year yields an approximate
total of 1,000 kWh/a; for more information, refer to the 'Examples' section,
or call vignette("algorithm-step-by-step")
.
In total there are 11 profile_id
for three different customer groups:
Households:
H0
Commercial:
G0
,G1
,G2
,G3
,G4
,G5
,G6
Agriculture:
L0
,L1
,L2
For more information and examples, call slp_info()
.
Period definitions:
summer
: May 15 to September 14winter
: November 1 to March 20transition
: March 21 to May 14, and September 15 to October 31
Day definitions:
workday
: Monday to Fridaysaturday
: Saturdays; Dec 24th and Dec 31th are considered a Saturdays too if they are not a Sundaysunday
: Sundays and all public holidays
Note: The package supports public holidays for Germany,
retrieved from the nager.Date API.
Use the optional argument state_code
to consider public holidays on a state
level too. Allowed values are listed below:
DE-BB
: BrandenburgDE-BE
: BerlinDE-BW
: Baden-WürttembergDE-BY
: BavariaDE-HB
: BremenDE-HE
: HesseDE-HH
: HamburgDE-MV
: Mecklenburg-VorpommernDE-NI
: Lower-SaxonyDE-NW
: North Rhine-WestphaliaDE-RP
: Rhineland-PalatinateDE-SH
: Schleswig-HolsteinDE-SL
: SaarlandDE-SN
: SaxonyDE-ST
: Saxony-AnhaltDE-TH
: Thuringia
start_date
must be greater or equal to "1990-01-01". This is because public
holidays in Germany would be ambitious before the reunification in 1990
(think of the state of Berlin in 1989 and earlier).
end_date
must be smaller or equal to "2073-12-31" because this is last
year supported by the nager.Date API.
Examples
start <- "2024-01-01"
end <- "2024-12-31"
# multiple profile IDs are supported
L <- slp_generate(c("L0", "L1", "L2"), start, end)
head(L)
#> profile_id start_time end_time watts
#> 1 L0 2024-01-01 00:00:00 2024-01-01 00:15:00 68.3
#> 2 L0 2024-01-01 00:15:00 2024-01-01 00:30:00 66.0
#> 3 L0 2024-01-01 00:30:00 2024-01-01 00:45:00 64.3
#> 4 L0 2024-01-01 00:45:00 2024-01-01 01:00:00 63.0
#> 5 L0 2024-01-01 01:00:00 2024-01-01 01:15:00 62.1
#> 6 L0 2024-01-01 01:15:00 2024-01-01 01:30:00 61.4
# you can specify one of the 16 ISO 3166-2:DE codes to take into
# account holidays determined at the level of the federal states
berlin <- slp_generate("H0", start, end, state_code = "DE-BE")
# for convenience, the codes can be specified without the prefix "DE-"
identical(berlin, slp_generate("H0", start, end, state_code = "BE"))
#> [1] TRUE
# state codes are not case-sensitive
identical(berlin, slp_generate("H0", start, end, state_code = "de-be"))
#> [1] TRUE
# consider only nationwide public holidays
H0_2024 <- slp_generate("H0", start, end)
# electric power values are normalized to consumption of ~1,000 kWh/a
sum(H0_2024$watts / 4 / 1000)
#> [1] 1002.084