example_midterm_demand_and_weather_data {oRaklE} | R Documentation |
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
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.
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;