example_longterm_future_macro_data | R Documentation |
This dataset extends the macro-economic data from example_longterm_predictions
until the year 2028. The macro-econmic data for the years 2023 until 2028 is derived from the World Economic Outlook Database (April 2023 edition) of the International Monetary Fund (IMF) (https://www.imf.org/en/Publications/WEO/weo-database/2023/October).
example_longterm_future_macro_data
A data frame with 23 rows and 18 columns:
country
The country, represented by the ISO2C country code (e.g., FR
for France).
year
The year of the observation.
avg_hourly_demand
The average hourly electricity demand (in megawatts) for the respective year.
population
The total population in the respective year.
GDP
Gross Domestic Product (in constant 2015 USD) in the respective year.
industrial_value_added
The percentage of GDP attributed to industrial value-added activities.
manufacturing_value_added
The percentage of GDP attributed to manufacturing value-added activities.
GDP_growth
The GDP growth rate (in percentage) for the respective year.
GDP_deflator
The GDP deflator (in percentage), which measures price inflation or deflation.
service_value_added
The percentage of GDP attributed to service sector value-added activities.
GNI
Gross National Income (in constant 2015 USD) in the respective year.
household_consumption_expenditure
The percentage of GDP attributed to household consumption expenditure.
rural_population
The rural population in the respective year.
longterm_model_predictions1
Predictions for the long-term trend component of electricity demand based on Model 1.
longterm_model_predictions2
Predictions for the long-term trend component of electricity demand based on Model 2.
longterm_model_predictions3
Predictions for the long-term trend component of electricity demand based on Model 3.
test_set_steps
The number of years used in the test or validation set for the model evaluation.
example
A boolean indicator to mark this dataset as an example dataset.
World Economic Outlook Database (April 2023 edition) of the International Monetary Fund (IMF) (https://www.imf.org/en/Publications/WEO/weo-database/2023/October); World Development Indicators (WDI) of the World Bank (https://databank.worldbank.org/source/world-development-indicators); Transparency Platform of the European Network of Transmission System Operators for Electricity (ENTSO-E, https://transparency.entsoe.eu/); ENTSO-E Power Stats Archive of https://www.entsoe.eu/data/power-stats/
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