get_connection_model_mclust_object

Perform <code>mclust::Mclust</code> clustering for multivariate GMM

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

get_connection_model_mclust_object function

<dl><dt>sessions</dt>
<dd>tibble, sessions data set in evprof
<a href="https://mcanigueral.github.io/evprof/articles/sessions-format.html">standard format</a>.</dd>
<dt>k</dt>
<dd>number of clusters</dd>
<dt>mclust_tol</dt>
<dd>tolerance parameter for clustering</dd>
<dt>mclust_itmax</dt>
<dd>maximum number of iterations</dd>
<dt>log</dt>
<dd>logical, whether to transform <code>ConnectionStartDateTime</code> and
<code>ConnectionHours</code> variables to natural logarithmic scale (base = <code>exp(1)</code>).</dd>
<dt>start</dt>
<dd>integer, start hour in the x axis of the plot.</dd></dl>

Arguments

Perform mclust::Mclust clustering for multivariate GMM — get_connection_model_mclust_object

<dl>

<dt>sessions</dt>
<dd>tibble, sessions data set in evprof
<a href='https://mcanigueral.github.io/evprof/articles/sessions-format.html'>standard format</a>.</dd>


<dt>k</dt>
<dd>number of clusters</dd>


<dt>mclust_tol</dt>
<dd>tolerance parameter for clustering</dd>


<dt>mclust_itmax</dt>
<dd>maximum number of iterations</dd>


<dt>log</dt>
<dd>logical, whether to transform <code>ConnectionStartDateTime</code> and
<code>ConnectionHours</code> variables to natural logarithmic scale (base = <code>exp(1)</code>).</dd>


<dt>start</dt>
<dd>integer, start hour in the x axis of the plot.</dd>

</dl>

get_connection_model_mclust_object: Perform `mclust::Mclust` clustering for multivariate GMM

Description

Usage

Value

Arguments