example_longterm_future_predictions: Example Longterm Future Predictions Data

Description

This dataset extends the long-term trend from example_longterm_predictions until the year 2028.

Usage

example_longterm_future_predictions

Arguments

Format

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.

@source Demand predictions until 2021: long_term_lm; Demand predictions from 2022-2028: long_term_future ;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/