example_midterm_demand_and_weather_data: Example Midterm Demand and Weather Data

Description

This dataset extends the example_midterm_demand_data by adding a weighted average temperature column. The dataset is divided into two parts: demand and temperature_data. The demand dataframe contains the added weighted average temperature column and the other demand related data. The temperature_data dataframe contains the daily temperature observations for the 20 most populated regions. This data is provided to show from which locations the weather data was taken.

Usage

example_midterm_demand_and_weather_data

Arguments

Format

A list containing two data frames:

demand: A data frame with 1,825 rows and 10 columns, representing mid-term electricity demand data.
temperature_data: A data frame with 1,826 rows and 22 columns, representing temperature measurements across multiple cities.

Demand Data Frame:

demand.country: The country, represented by the ISO2C country code (e.g., FR for France).
demand.date: The date of the demand measurement (in YYYY-MM-DD format).
demand.year: The respective year.
demand.month: The respective month.
demand.day: The respective day.
demand.wday: The type of weekday (e.g., Sun, Mon)
demand.avg_hourly_demand: The average hourly electricity demand (in megawatts) for each day.
demand.seasonal_avg_hourly_demand: The seasonal mid-term component of the demand (in megawatts).
demand.weighted_temperature: The weighted average temperature for France on that day (in degrees Celsius).
example: A boolean indicator to mark this dataset as an example dataset.

Temperature Data Frame:

date: The date of the temperature observation (in YYYY-MM-DD format).
Paris, Marseille, Lyon, Toulouse, Nice, Nantes, Montpellier, Strasbourg, Bordeaux,Cergy-Pontoise,Toulon,Reims, Lille,15th arrondissement of Paris, 20th arrondissement of Paris, 18th arrondissement of Paris, 19th arrondissement of Paris, 13th arrondissement of Paris: The daily average temperature readings (in degrees Celsius) for various cities or city districts on that date.
weighted_mean_temperature: The weighted (by share of population) mean temperature across the country for the respective date.