summarise_sessions

Statistic summary of sessions features

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

summarise_sessions 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>.
<a href="https://mcanigueral.github.io/evprof/articles/sessions-format.html">standard format</a>.</dd>
<dt>.funs</dt>
<dd>A function to compute, e.g. <code>mean</code>, <code>max</code>, etc.</dd>
<dt>vars</dt>
<dd>character vector, variables to compute the histogram for</dd></dl>

Arguments

Statistic summary of sessions features — summarise_sessions

<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>.
<a href='https://mcanigueral.github.io/evprof/articles/sessions-format.html'>standard format</a>.</dd>


<dt>.funs</dt>
<dd>A function to compute, e.g. <code>mean</code>, <code>max</code>, etc.</dd>


<dt>vars</dt>
<dd>character vector, variables to compute the histogram for</dd>

</dl>

summarise_sessions: Statistic summary of sessions features

Description

Usage

Value

Arguments

Examples