example_shortterm_demand_data

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.

dataset

demand

shortterm

Advanced forecasting algorithms for long-term energy demand at the
national or regional level. The methodology is based on Grandón et al. (2024)
<doi:10.1016/j.apenergy.2023.122249>; Zimmermann & Ziel (2024)
<doi:10.1016/j.apenergy.2025.125444>. Real-time data, including power demand, weather conditions, and macroeconomic indicators, are provided through automated API integration with various institutions. The modular approach maintains transparency on the various model selection processes and encompasses the ability to be adapted to individual needs. 'oRaklE' tries to help facilitating robust decision-making in energy management and planning.

Johannes Schwenzer

oRaklE

Multi-Horizon Electricity Demand Forecasting in High Resolution

Simone Maxand

Tatiana Gonzalez Grandón

example_shortterm_demand_data function

A data frame with 43,800 rows and 14 columns:<dl>
<dt><code>country</code></dt>
<dd>The country, represented by the ISO2C country code (e.g., <code>FR</code> for France).</dd><dt><code>date</code></dt>
<dd>The date (in <code>YYYY-MM-DD</code> format).</dd><dt><code>year</code></dt>
<dd>The respective year.</dd><dt><code>month</code></dt>
<dd>The respective month.</dd><dt><code>day</code></dt>
<dd>The respective day.</dd><dt><code>wday</code></dt>
<dd>The type of weekday (e.g., <code>Sun</code>, <code>Mon</code>)</dd><dt><code>hour</code></dt>
<dd>The respective hour of the day.</dd><dt><code>hourly_demand</code></dt>
<dd>The actual hourly electricity demand (in megawatts).</dd><dt><code>hourly_demand_trend_corrected</code></dt>
<dd>The hourly demand corrected for long-term trends.</dd><dt><code>yearly</code></dt>
<dd>The yearly average electricity demand.</dd><dt><code>daily</code></dt>
<dd>The daily average electricity demand.</dd><dt><code>hourly_demand_trend_and_season_corrected</code></dt>
<dd>The hourly demand corrected for both long-term trends and seasonal variations.</dd><dt><code>holiday</code></dt>
<dd>A binary indicator for whether the day is a public holiday (<code>1</code> for holiday, <code>0</code> for non-holiday).</dd><dt><code>example</code></dt>
<dd>A boolean indicator to mark this dataset as an example dataset.</dd>
</dl>

Format

Example Short-term Demand Data — example_shortterm_demand_data

A data frame with 43,800 rows and 14 columns:<dl>
<dt><code>country</code></dt>
<dd>The country, represented by the ISO2C country code (e.g., <code>FR</code> for France).</dd>

<dt><code>date</code></dt>
<dd>The date (in <code>YYYY-MM-DD</code> format).</dd>

<dt><code>year</code></dt>
<dd>The respective year.</dd>

<dt><code>month</code></dt>
<dd>The respective month.</dd>

<dt><code>day</code></dt>
<dd>The respective day.</dd>

<dt><code>wday</code></dt>
<dd>The type of weekday (e.g., <code>Sun</code>, <code>Mon</code>)</dd>

<dt><code>hour</code></dt>
<dd>The respective hour of the day.</dd>

<dt><code>hourly_demand</code></dt>
<dd>The actual hourly electricity demand (in megawatts).</dd>

<dt><code>hourly_demand_trend_corrected</code></dt>
<dd>The hourly demand corrected for long-term trends.</dd>

<dt><code>yearly</code></dt>
<dd>The yearly average electricity demand.</dd>

<dt><code>daily</code></dt>
<dd>The daily average electricity demand.</dd>

<dt><code>hourly_demand_trend_and_season_corrected</code></dt>
<dd>The hourly demand corrected for both long-term trends and seasonal variations.</dd>

<dt><code>holiday</code></dt>
<dd>A binary indicator for whether the day is a public holiday (<code>1</code> for holiday, <code>0</code> for non-holiday).</dd>

<dt><code>example</code></dt>
<dd>A boolean indicator to mark this dataset as an example dataset.</dd>


</dl>

example_shortterm_demand_data: Example Short-term Demand Data

Description

Usage

Arguments

Format