example_decomposed_data: Example Decomposed Data
In oRaklE: Multi-Horizon Electricity Demand Forecasting in High Resolution

example_decomposed_data

R Documentation

Example Decomposed Data

Description

This dataset contains the decomposed data of example_demand_data_filled into a long-term trend, a mid-term seasonality, and a short-term seasonality. It contains a list of three dataframes, one for each component.

Usage

example_decomposed_data

Format

A list with three dataframes:

longterm: A dataframe with long-term trend specific data
midterm: A dataframe with mid-term seasonality specific data
shortterm: A dataframe with short-term seasonality specific data

Longterm Data Frame:

longterm.country: The country, represented by the ISO2C country code (e.g., FR for France).
longterm.year: The respective year.
longterm.avg_hourly_demand: The average hourly electricity demand (in megawatts) for each year.
example: A boolean indicator to mark this dataset as an example dataset.

Midterm Data Frame:

midterm.country: The country, represented by the ISO2C country code (e.g., FR for France).
midterm.date: The date of the demand measurement (in YYYY-MM-DD format).
midterm.year: The respective year.
midterm.month: The respective month.
midterm.day: The respective day.
midterm.wday: The type of weekday (e.g., Sun, Mon)
midterm.avg_hourly_demand: The average hourly electricity demand (in megawatts) for each day.
midterm.seasonal_avg_hourly_demand: The seasonal mid-term component of the demand (in megawatts).
example: A boolean indicator to mark this dataset as an example dataset.

Shortterm Data Frame

shortterm.country: The country, represented by the ISO2C country code (e.g., FR for France).
shortterm.date: The date of the demand measurement (in ⁠YYYY-MM-DD HH:MM:SS⁠ format).
shortterm.year: The respective year.
shortterm.month: The respective month.
shortterm.day: The respective day.
shortterm.wday: The type of weekday (e.g., Sun, Mon)
shortterm.hour: The respective hour (from 0 to 23).
shortterm.hourly_demand: The actual hourly electricity demand (in megawatts) for each hour.
shortterm.hourly_demand_trend_corrected: The demand substracted by the long-term trend.
shortterm.yearly: The yearly average electricity demand in the respective year.
shortterm.daily: The daily average electricity demand in the respective day.
shortterm.hourly_demand_trend_and_season_corrected: The short-term seasonal component which is the hourly demand, substracted by both the long-term trend and the mid-term seasonality.
example: A boolean indicator to mark this dataset as an example dataset.