example_midterm_demand_and_weather_data | R Documentation |
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.
example_midterm_demand_and_weather_data
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.
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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