example_longterm_future_predictions: Example Longterm Future Predictions Data

In oRaklE: Multi-Horizon Electricity Demand Forecasting in High Resolution

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

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/

oRaklE documentation built on June 8, 2025, 12:41 p.m.