california_GMM

Example of connection and energy GMM obtained from functions
<code>get_connection_models</code> and <code>get_energy_models</code> respectively.
They have been created using an Open source data set of EV charging sessions
provided by <a href="https://acnportal.readthedocs.io/en/latest/">ACN</a>.
More information about the development of the model in the evprof website:
<a href="https://mcanigueral.github.io/evprof/articles/california.html">https://mcanigueral.github.io/evprof/articles/california.html</a>

internal

Tools for modelling electric vehicle charging sessions into
generic groups with similar connection patterns called "user profiles",
using Gaussian Mixture Models clustering. The clustering and profiling
methodology is described in Cañigueral and Meléndez (2021, ISBN:0142-0615)
<doi:10.1016/j.ijepes.2021.107195>.

Marc Cañigueral

evprof

Electric Vehicle Charging Sessions Profiling and Modelling

california_GMM function

list<dl>
<dt>connection_models</dt>
<dd>Tibble with the parameters of the bi-variate
(connection start time and connection duration) GMM from the working/weekend days
sessions of the California data set obtained from <code>get_connection_models</code></dd><dt>energy_models</dt>
<dd>Tibble with the parameters of the uni-variate
(energy) GMM from the working/weekend days sessions of the California data set
obtained from <code>get_energy_models</code></dd>
</dl>

Format

Example of connection and energy GMM obtained from functions
<code>get_connection_models</code> and <code>get_energy_models</code> respectively.
They have been created using an Open source data set of EV charging sessions
provided by <a href='https://acnportal.readthedocs.io/en/latest/'>ACN</a>.
More information about the development of the model in the evprof website:
<a href='https://mcanigueral.github.io/evprof/articles/california.html'>https://mcanigueral.github.io/evprof/articles/california.html</a>

Gaussian Mixture Models examples — california_GMM

list<dl>
<dt>connection_models</dt>
<dd>Tibble with the parameters of the bi-variate
(connection start time and connection duration) GMM from the working/weekend days
sessions of the California data set obtained from <code>get_connection_models</code></dd>

<dt>energy_models</dt>
<dd>Tibble with the parameters of the uni-variate
(energy) GMM from the working/weekend days sessions of the California data set
obtained from <code>get_energy_models</code></dd>


</dl>

california_GMM: Gaussian Mixture Models examples

Description

Usage

Arguments

Format