GBload

A dataset containing the electricity actual total load (MW) in
Great Britain in year 2018 presented in half-hour interval. Each data
point regards 30 minutes of electricity load starting at given time. The
data consists of both missing values and outliers.

datasets

Methods for handling the missing values outliers are introduced in
this package. The recognized missing values and outliers are replaced
using a model-based approach. The model may consist of both autoregressive
components and external regressors. The methods work robust and efficient,
and they are fully tunable. The primary motivation for writing the package
was preprocessing of the energy systems data, e.g. power plant production
time series, but the package could be used with any time series data. For
details, see Narajewski et al. (2021) <doi:10.1016/j.softx.2021.100809>.

Micha<c5><82> Narajewski

tsrobprep

Robust Preprocessing of Time Series Data

Jens Kley-Holsteg

Florian Ziel

GBload function

A data frame with 17520 rows and 2 variables:<dl class="dl-horizontal">
<dt>Date</dt><dd>date indicating the delivery beginning of the electricity</dd>
<dt>Load</dt><dd>actual electricity load in MW</dd>
...
</dl>

Format

The electricity actual total load in Great Britain in year 2018 — GBload

A data frame with 17520 rows and 2 variables:<dl class='dl-horizontal'>
<dt>Date</dt><dd>date indicating the delivery beginning of the electricity</dd>
<dt>Load</dt><dd>actual electricity load in MW</dd>
...
</dl>

GBload: The electricity actual total load in Great Britain in year 2018

Description

Usage

Arguments

Format