example_shortterm_future_predictions: Example Shortterm Future Predictions Data

Description

This dataset extends the short-term electricity demand predictions from example_shortterm_predictions until the year 2028.

Usage

example_shortterm_future_predictions

Arguments

Format

A data frame with 105,120 rows and 40 columns:

country: The country, represented by the ISO2C country code (e.g., FR for France).
date: The date (in YYYY-MM-DD format).
year: The respective year.
month: The respective month.
day: The respective day.
wday: The type of weekday (e.g., Sun, Mon)
hour: The respective hour of the day.
hourly_demand: The actual hourly electricity demand (in megawatts).
hourly_demand_trend_corrected: The hourly demand corrected for long-term trends.
yearly: The yearly average electricity demand.
daily: The daily average electricity demand.
hourly_demand_trend_and_season_corrected: The hourly demand corrected for both long-term trends and seasonal variations.
holiday: A binary indicator for whether the day is a public holiday (1 for holiday, 0 for non-holiday).
Hour0, Hour1, Hour2, Hour3, Hour4, Hour5, Hour6, Hour7, Hour8, Hour9, Hour10, Hour11, Hour12, Hour13, Hour14, Hour15, Hour16, Hour17, Hour18, Hour19, Hour20, Hour21, Hour22, Hour23: Binary variables indicating the hour of the day, where each variable represents a specific hour (e.g., Hour0 for 00:00 to 00:59, Hour1 for 01:00 to 01:59, and so on up to Hour23 for 23:00 to 23:59).
short_term_lm_model_predictions: Model predictions for the short-term seasonality (the intraday pattern).
test_set_steps: Number of hours used in the test set for model evaluation.
example: A boolean indicator to mark this dataset as an example dataset.