example_shortterm_future_predictions | R Documentation |
This dataset extends the short-term electricity demand predictions from example_shortterm_predictions
until the year 2028.
example_shortterm_future_predictions
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.
demand data: Transparency Platform of the European Network of Transmission System Operators for Electricity (ENTSO-E, https://transparency.entsoe.eu/); holidays: https://date.nager.at/api/v3/publicholidays/
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