electricity_future_exo_vars

Contains the future values of the exogenous variables of the electricity dataset (24 steps-ahead). To be used with <code>electricity_exo_vars</code>.

datasets

A Software Development Kit for working with 'Nixtla''s 'TimeGPT', a foundation
model for time series forecasting. 'API' is an acronym for 'application
programming interface'; this package allows users to interact with
'TimeGPT' via the 'API'. You can set and validate 'API' keys and generate forecasts
via 'API' calls. It is compatible with 'tsibble' and base R. For more details
visit <https://docs.nixtla.io/>.

Mariana Menchero

nixtlar

A Software Development Kit for 'Nixtla''s 'TimeGPT'

Nixtla 

electricity_future_exo_vars function

<div class="section" id="electricity-future-exo-vars">
<h3><code>electricity_future_exo_vars</code></h3>
A data frame with 120 rows and 11 columns:<dl>
<dt>unique_id</dt>
<dd>Unique identifiers of the electricity markets.</dd><dt>ds</dt>
<dd>Date in format YYYY:MM:DD hh:mm:ss.</dd><dt>Exogenous1</dt>
<dd>An external factor influencing prices. For all markets, some form of day-ahead load forecast.</dd><dt>Exogenous2</dt>
<dd>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.</dd><dt>day_0</dt>
<dd>Binary variable indicating weekday.</dd><dt>day_1</dt>
<dd>Binary variable indicating weekday.</dd><dt>day_2</dt>
<dd>Binary variable indicating weekday.</dd><dt>day_3</dt>
<dd>Binary variable indicating weekday.</dd><dt>day_4</dt>
<dd>Binary variable indicating weekday.</dd><dt>day_5</dt>
<dd>Binary variable indicating weekday.</dd><dt>day_6</dt>
<dd>Binary variable indicating weekday.</dd>
</dl></div>

Format

Future values for the electricity dataset with exogenous variables — electricity_future_exo_vars

<div class='section' id='electricity-future-exo-vars'>
<h3><code>electricity_future_exo_vars</code></h3>


A data frame with 120 rows and 11 columns:<dl>
<dt>unique_id</dt>
<dd>Unique identifiers of the electricity markets.</dd>

<dt>ds</dt>
<dd>Date in format YYYY:MM:DD hh:mm:ss.</dd>

<dt>Exogenous1</dt>
<dd>An external factor influencing prices. For all markets, some form of day-ahead load forecast.</dd>

<dt>Exogenous2</dt>
<dd>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.</dd>

<dt>day_0</dt>
<dd>Binary variable indicating weekday.</dd>

<dt>day_1</dt>
<dd>Binary variable indicating weekday.</dd>

<dt>day_2</dt>
<dd>Binary variable indicating weekday.</dd>

<dt>day_3</dt>
<dd>Binary variable indicating weekday.</dd>

<dt>day_4</dt>
<dd>Binary variable indicating weekday.</dd>

<dt>day_5</dt>
<dd>Binary variable indicating weekday.</dd>

<dt>day_6</dt>
<dd>Binary variable indicating weekday.</dd>


</dl>

</div>

electricity_future_exo_vars: Future values for the electricity dataset with exogenous variables

Description

Usage

Arguments

Format

`electricity_future_exo_vars`