example_shortterm_demand_data: Example Short-term Demand Data

In oRaklE: Multi-Horizon Electricity Demand Forecasting in High Resolution

Example Short-term Demand Data

Description

This dataset contains the seasonal short-term demand (the difference between the measured hourly demand and the yearly average hourly electricity demand minus the daily average hourly electricity demand). for each hour for France from 2017 until 2021. The short-term seasonality corresponds to the intra-day pattern.

Usage

example_shortterm_demand_data

Format

A data frame with 43,800 rows and 14 columns:

country

The country, represented by the ISO2C country code (e.g., FR for France).

date

The date (in YYYY-MM-DD format).

year

The respective year.

month

The respective month.

day

The respective day.

wday

The type of weekday (e.g., Sun, Mon)

hour

The respective hour of the day.

hourly_demand

The actual hourly electricity demand (in megawatts).

hourly_demand_trend_corrected

The hourly demand corrected for long-term trends.

yearly

The yearly average electricity demand.

daily

The daily average electricity demand.

hourly_demand_trend_and_season_corrected

The hourly demand corrected for both long-term trends and seasonal variations.

holiday

A binary indicator for whether the day is a public holiday (1 for holiday, 0 for non-holiday).

example

A 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/

oRaklE documentation built on June 8, 2025, 12:41 p.m.