estimate_sessions

Estimate sessions parameters of a specific profile

internal

Simulation of Electric Vehicles charging sessions using Gaussian models, together with time-series power demand calculations.

Marc Cañigueral

evsim

Electric Vehicle Charging Sessions Simulation

estimate_sessions function

<dl><dt>profile_name</dt>
<dd>character, profile name</dd>
<dt>n_sessions</dt>
<dd>integer, total number of sessions per day</dd>
<dt>power</dt>
<dd>numeric, charging power of the session</dd>
<dt>connection_models</dt>
<dd>tibble, bivariate GMM of the profile</dd>
<dt>energy_models</dt>
<dd>tibble, univariate GMM of the profile</dd>
<dt>connection_log</dt>
<dd>logical, true if connection models have logarithmic transformations</dd>
<dt>energy_log</dt>
<dd>logical, true if energy models have logarithmic transformations</dd>
<dt>charging_powers</dt>
<dd>tibble with variables <code>power</code> and <code>ratio</code>
The powers must be in kW and the ratios between 0 and 1.</dd></dl>

Arguments

Estimate sessions parameters of a specific profile — estimate_sessions

<dl>

<dt>profile_name</dt>
<dd>character, profile name</dd>


<dt>n_sessions</dt>
<dd>integer, total number of sessions per day</dd>


<dt>power</dt>
<dd>numeric, charging power of the session</dd>


<dt>connection_models</dt>
<dd>tibble, bivariate GMM of the profile</dd>


<dt>energy_models</dt>
<dd>tibble, univariate GMM of the profile</dd>


<dt>connection_log</dt>
<dd>logical, true if connection models have logarithmic transformations</dd>


<dt>energy_log</dt>
<dd>logical, true if energy models have logarithmic transformations</dd>


<dt>charging_powers</dt>
<dd>tibble with variables <code>power</code> and <code>ratio</code>
The powers must be in kW and the ratios between 0 and 1.</dd>

</dl>

estimate_sessions: Estimate sessions parameters of a specific profile

Description

Usage

Value

Arguments