electricity_exo_vars {nixtlar}R Documentation

Electricity dataset with exogenous variables

Description

Contains prices of different electricity markets with exogenous variables.

Usage

electricity_exo_vars

Format

electricity_exo_vars

A data frame with 8400 rows and 12 columns:

unique_id

Unique identifiers of the electricity markets.

ds

Date in format YYYY:MM:DD hh:mm:ss.

y

Price for the given market and date.

Exogenous1

An external factor influencing prices. For all markets, some form of day-ahead load forecast.

Exogenous2

An external factor influencing prices. For "BE" and "FR" markets, the day-ahead generation forecast. For "NP", the day-ahead wind generation forecast. For "PJM", the day-ahead load forecast in a specific zone. For "DE", the aggregated day-ahead wind and solar generation forecasts.

day_0

Binary variable indicating weekday.

day_1

Binary variable indicating weekday.

day_2

Binary variable indicating weekday.

day_3

Binary variable indicating weekday.

day_4

Binary variable indicating weekday.

day_5

Binary variable indicating weekday.

day_6

Binary variable indicating weekday.

Source

https://raw.githubusercontent.com/Nixtla/transfer-learning-time-series/main/datasets/electricity-short.csv


[Package nixtlar version 0.5.2 Index]