example_midterm_future_predictions: Example Midterm Future Predictions Data
In oRaklE: Multi-Horizon Electricity Demand Forecasting in High Resolution
example_midterm_future_predictions R Documentation
Example Midterm Future Predictions Data
Description
This dataset extends the mid-term electricity demand predictions from example_midterm_predictions until the year 2028.
Usage
example_midterm_future_predictions
Format
A data frame with 4,380 rows and 46 columns:
countryThe country, represented by the ISO2C country code (e.g., FR for France).
dateThe date (in YYYY-MM-DD format).
yearThe respective year.
monthThe respective month.
dayThe respective day.
wdayThe type of weekday (e.g., Sun, Mon)
avg_hourly_demandThe average hourly electricity demand (in megawatts) for the day.
seasonal_avg_hourly_demandThe seasonal average hourly demand (in megawatts) for the day.
holidayIndicates whether the day is a public holiday (1 for holiday, 0 for non-holiday).
weighted_temperatureThe weighted average temperature for France on that day (in degrees Celsius).
Jan, Feb, Mar, Apr, May, Jun, Jul, Aug, Sep, Nov, DecMonthly dummy variables for January through December, indicating the respective month (1 if the date belongs to the month, 0 otherwise).
Sun, Mon, Tue, Wed, Thu, Fri, SatWeekly dummy variables for Sunday through Saturday, indicating the respective weekday (1 if the date is the specific weekday, 0 otherwise).
HDThe weighted temperature converted to heating degree days.
CDThe weighted temperature converted to cooling degree days.
HD2The squared heating degree days (HD).
HD3The cubed heating degree days (HD).
CD2The squared cooling degree days (CD).
CD3The cubed cooling degree days (CD).
weighted_temperature2The squared weighted temperature.
weighted_temperature3The cubed weighted temperature.
HDlag1Lagged value of heating degree days (1 day).
HDlag2Lagged value of heating degree days (2 days).
CDlag1Lagged value of cooling degree days (1 day).
CDlag2Lagged value of cooling degree days (2 days).
weighted_temperaturelag1Lagged weighted temperature (1 day).
weighted_temperaturelag2Lagged weighted temperature (2 days).
midterm_model_fitmodel predictions for the seasonal mid-term component.
end_of_yearBinary dummy variable to account for lower demand between Christmas and New Year's Evening. Starts at 22nd December.
test_set_stepsNumber of days used in the test set for model evaluation.
exampleA boolean indicator to mark this dataset as an example dataset.
Source
demand data: Transparency Platform of the European Network of
Transmission System Operators for Electricity (ENTSO-E, https://transparency.entsoe.eu/);
holidays: https://date.nager.at/api/v3/publicholidays/ ; area population: https://wft-geo-db.p.rapidapi.com ; daily average temperatures: https://meteostat.p.rapidapi.com;
oRaklE documentation built on June 8, 2025, 12:41 p.m.
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| example_midterm_future_predictions | R Documentation |
Example Midterm Future Predictions Data
Description
This dataset extends the mid-term electricity demand predictions from example_midterm_predictions until the year 2028.
Usage
example_midterm_future_predictions
Format
A data frame with 4,380 rows and 46 columns:
countryThe country, represented by the ISO2C country code (e.g.,
FRfor France).dateThe date (in
YYYY-MM-DDformat).yearThe respective year.
monthThe respective month.
dayThe respective day.
wdayThe type of weekday (e.g.,
Sun,Mon)avg_hourly_demandThe average hourly electricity demand (in megawatts) for the day.
seasonal_avg_hourly_demandThe seasonal average hourly demand (in megawatts) for the day.
holidayIndicates whether the day is a public holiday (
1for holiday,0for non-holiday).weighted_temperatureThe weighted average temperature for France on that day (in degrees Celsius).
Jan,Feb,Mar,Apr,May,Jun,Jul,Aug,Sep,Nov,DecMonthly dummy variables for January through December, indicating the respective month (
1if the date belongs to the month,0otherwise).Sun,Mon,Tue,Wed,Thu,Fri,SatWeekly dummy variables for Sunday through Saturday, indicating the respective weekday (
1if the date is the specific weekday,0otherwise).HDThe weighted temperature converted to heating degree days.
CDThe weighted temperature converted to cooling degree days.
HD2The squared heating degree days (HD).
HD3The cubed heating degree days (HD).
CD2The squared cooling degree days (CD).
CD3The cubed cooling degree days (CD).
weighted_temperature2The squared weighted temperature.
weighted_temperature3The cubed weighted temperature.
HDlag1Lagged value of heating degree days (1 day).
HDlag2Lagged value of heating degree days (2 days).
CDlag1Lagged value of cooling degree days (1 day).
CDlag2Lagged value of cooling degree days (2 days).
weighted_temperaturelag1Lagged weighted temperature (1 day).
weighted_temperaturelag2Lagged weighted temperature (2 days).
midterm_model_fitmodel predictions for the seasonal mid-term component.
end_of_yearBinary dummy variable to account for lower demand between Christmas and New Year's Evening. Starts at 22nd December.
test_set_stepsNumber of days used in the test set for model evaluation.
exampleA boolean indicator to mark this dataset as an example dataset.
Source
demand data: Transparency Platform of the European Network of Transmission System Operators for Electricity (ENTSO-E, https://transparency.entsoe.eu/); holidays: https://date.nager.at/api/v3/publicholidays/ ; area population: https://wft-geo-db.p.rapidapi.com ; daily average temperatures: https://meteostat.p.rapidapi.com;
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