Distribution4Charging_Duration-Jonas-Desktop.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# How to model the charging duration (or parking duration) for e-cars at supermarkets?\n",
    "According to **EHI-WHITEPAPER Elektromobilität im Handel 2023** the average charging times are\n",
    "| Duration  | Percentage    |\n",
    "| ---       | ---           | \n",
    "| max. 30 mins. | 15%       |\n",
    "| 30-60mins.    | 50%       | \n",
    "| 60-120mins.   | 31%       |\n",
    "| <120mins.     | 4%        |\n",
    "\n",
    "Based on these figures we can create some sample data to work with:\n",
    "\n",
    "Assumption 1: we take the midpoint per interval for our samples, e.g. we use 90mins for the interval from 60-120mins.\n",
    "\n",
    "Assumption 2: max. parking duration is 5 hours (--> midpoint = 210min)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-18T23:20:31.627013600Z",
     "start_time": "2023-10-18T23:20:31.616459Z"
    }
   },
   "outputs": [],
   "source": [
    "from scipy import stats\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-18T23:20:31.862627Z",
     "start_time": "2023-10-18T23:20:31.627013600Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 100 sample values following the distribution above\n",
    "parking_duration_sample=[ \\\n",
    "    15, 15, 15, 15, 15, 15, 15, 15, 15, 15, \\\n",
    "    15, 15, 15, 15, 15, 45, 45, 45, 45, 45, \\\n",
    "    45, 45, 45, 45, 45, 45, 45, 45, 45, 45, \\\n",
    "    45, 45, 45, 45, 45, 45, 45, 45, 45, 45, \\\n",
    "    45, 45, 45, 45, 45, 45, 45, 45, 45, 45, \\\n",
    "    45, 45, 45, 45, 45, 45, 45, 45, 45, 45, \\\n",
    "    45, 45, 45, 45, 45, 90, 90, 90, 90, 90, \\\n",
    "    90, 90, 90, 90, 90, 90, 90, 90, 90, 90, \\\n",
    "    90, 90, 90, 90, 90, 90, 90, 90, 90, 90, \\\n",
    "    90, 90, 90, 90, 90, 90, 210, 210, 210, 210\\\n",
    "        ]\n",
    "\n",
    "plt.hist(parking_duration_sample, bins = [0, 30, 60, 120, 300], alpha=0.5)\n",
    "# plt.hist(parking_duration_sample, alpha=0.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With SciPy we can fit our sample data against various distributions. We will test 3 different distributions in the following:\n",
    "- Normal distribution (only for testing because we can see already from the histogram that our data is right skewed)\n",
    "- Lognormal distribution (used in HertleinEtAl_2023 for parking duration in inner-city garages)\n",
    "- Weibull distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-18T23:20:31.878250Z",
     "start_time": "2023-10-18T23:20:31.862627Z"
    }
   },
   "outputs": [],
   "source": [
    "bins=range(300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-18T23:20:31.956796100Z",
     "start_time": "2023-10-18T23:20:31.878250Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "61.05 39.92677672940805\n"
     ]
    }
   ],
   "source": [
    "# NORMAL\n",
    "(mu, sigma) = stats.norm.fit(parking_duration_sample)\n",
    "print(mu, sigma)\n",
    "y = stats.norm.pdf(bins, mu, sigma)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-12-22T15:18:54.995703900Z",
     "start_time": "2023-12-22T15:18:53.794647400Z"
    }
   },
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'stats' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m",
      "\u001B[1;31mNameError\u001B[0m                                 Traceback (most recent call last)",
      "Input \u001B[1;32mIn [1]\u001B[0m, in \u001B[0;36m<cell line: 2>\u001B[1;34m()\u001B[0m\n\u001B[0;32m      1\u001B[0m \u001B[38;5;66;03m# lognormal\u001B[39;00m\n\u001B[1;32m----> 2\u001B[0m shape, loc, scale \u001B[38;5;241m=\u001B[39m \u001B[43mstats\u001B[49m\u001B[38;5;241m.\u001B[39mlognorm\u001B[38;5;241m.\u001B[39mfit(parking_duration_sample)\n\u001B[0;32m      3\u001B[0m \u001B[38;5;28mprint\u001B[39m(shape, loc, scale)\n\u001B[0;32m      4\u001B[0m y2 \u001B[38;5;241m=\u001B[39m stats\u001B[38;5;241m.\u001B[39mlognorm\u001B[38;5;241m.\u001B[39mpdf(bins, shape, loc\u001B[38;5;241m=\u001B[39mloc, scale\u001B[38;5;241m=\u001B[39mscale)\n",
      "\u001B[1;31mNameError\u001B[0m: name 'stats' is not defined"
     ]
    }
   ],
   "source": [
    "# lognormal\n",
    "shape, loc, scale = stats.lognorm.fit(parking_duration_sample)\n",
    "print(shape, loc, scale)\n",
    "y2 = stats.lognorm.pdf(bins, shape, loc=loc, scale=scale)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-18T23:20:32.316762400Z",
     "start_time": "2023-10-18T23:20:32.096589300Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "39.857766124920076 0.65117444343909 -20.724236876543387 8.472003942187907\n"
     ]
    }
   ],
   "source": [
    "# WEIBULL\n",
    "a_out, Kappa_out, loc_out, Lambda_out = stats.exponweib.fit(parking_duration_sample)\n",
    "y3=stats.exponweib.pdf(bins, a=a_out,c=Kappa_out,loc=loc_out,scale = Lambda_out)\n",
    "print(a_out, Kappa_out, loc_out, Lambda_out)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-18T23:20:32.394935800Z",
     "start_time": "2023-10-18T23:20:32.316762400Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": "                  0\ncount  1.000000e+03\nmean   1.013308e+08\nstd    2.685072e+09\nmin    1.500000e+01\n25%    1.501245e+01\n50%    1.768000e+01\n75%    5.554707e+02\nmax    8.448369e+10",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>0</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>count</th>\n      <td>1.000000e+03</td>\n    </tr>\n    <tr>\n      <th>mean</th>\n      <td>1.013308e+08</td>\n    </tr>\n    <tr>\n      <th>std</th>\n      <td>2.685072e+09</td>\n    </tr>\n    <tr>\n      <th>min</th>\n      <td>1.500000e+01</td>\n    </tr>\n    <tr>\n      <th>25%</th>\n      <td>1.501245e+01</td>\n    </tr>\n    <tr>\n      <th>50%</th>\n      <td>1.768000e+01</td>\n    </tr>\n    <tr>\n      <th>75%</th>\n      <td>5.554707e+02</td>\n    </tr>\n    <tr>\n      <th>max</th>\n      <td>8.448369e+10</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# genarate random vars according to chosen distribution\n",
    "r2 = stats.lognorm.rvs(shape, loc=loc, scale=scale, size=1000) \n",
    "df2 = pd.DataFrame(r2)\n",
    "df2.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-18T23:20:32.457877600Z",
     "start_time": "2023-10-18T23:20:32.348033200Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": "                 0\ncount  1000.000000\nmean     60.967387\nstd      37.647897\nmin      -3.253598\n25%      35.174242\n50%      53.323366\n75%      76.382863\nmax     345.719611",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>0</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>count</th>\n      <td>1000.000000</td>\n    </tr>\n    <tr>\n      <th>mean</th>\n      <td>60.967387</td>\n    </tr>\n    <tr>\n      <th>std</th>\n      <td>37.647897</td>\n    </tr>\n    <tr>\n      <th>min</th>\n      <td>-3.253598</td>\n    </tr>\n    <tr>\n      <th>25%</th>\n      <td>35.174242</td>\n    </tr>\n    <tr>\n      <th>50%</th>\n      <td>53.323366</td>\n    </tr>\n    <tr>\n      <th>75%</th>\n      <td>76.382863</td>\n    </tr>\n    <tr>\n      <th>max</th>\n      <td>345.719611</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r3= stats.exponweib.rvs(a_out, Kappa_out, loc=loc_out, scale=Lambda_out, size=1000)\n",
    "df3 = pd.DataFrame(r3)\n",
    "df3.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The fitted lognormal distribution shows extremely large values which skrew up the whole distribution. Thus, with the provided data lognormal is not applicable or requires more parameter tuning!\n",
    "\n",
    "We do not see these outliers with Weibull but the minimum could be negative! These needs to be handled when used in the simulation model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-18T23:20:32.661848300Z",
     "start_time": "2023-10-18T23:20:32.394935800Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting\n",
    "plt.plot(bins, y, 'r--')\n",
    "#plt.plot(bins, y2, 'b.')\n",
    "plt.plot(bins, y3, 'g--')\n",
    "plt.hist(r3,density=True, bins='auto', histtype='stepfilled', alpha=0.5)\n",
    "plt.hist(parking_duration_sample, bins = [0, 30, 60, 120, 300], density=True, alpha=0.3)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-18T23:20:32.912712900Z",
     "start_time": "2023-10-18T23:20:32.661848300Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# CDF plotting\n",
    "plt.plot(bins, stats.norm.cdf(bins, mu, sigma), label='Norm')\n",
    "plt.plot(bins, stats.lognorm.cdf(bins, shape, loc=loc, scale=scale), label='Log-Normal')\n",
    "plt.plot(bins, stats.exponweib.cdf(bins, a=a_out,c=Kappa_out,loc=loc_out,scale = Lambda_out), label='Weibull')\n",
    "\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusion\n",
    "We have very limited data on the charging duration but can test in our simulation model a Weibull distribution for the duration with the following parameters\n",
    "$$a=39.857766124920076$$\n",
    "$$c=0.65117444343909$$\n",
    "$$loc=-20.724236876543387$$\n",
    "$$scale=8.472003942187907$$\n",
    "\n",
    "Additional exception handling is needed if negative values are returned!\n",
    "\n",
    "A charging duration for the next e-car can be computed with:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-19T08:09:06.440294300Z",
     "start_time": "2023-10-19T08:09:06.408583800Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[26.84688683]\n"
     ]
    }
   ],
   "source": [
    "charge_time = stats.exponweib.rvs(a_out, Kappa_out, loc=loc_out, scale=Lambda_out, size=1)\n",
    "print(charge_time)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "source": [
    "With this returned numbers, we can run our simulation model and see the effect in the output"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Alle Ladesäulen belegt. Abgewiesene EVs:  1\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  2\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  3\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 1\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 2\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 3\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 4\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 5\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 6\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  4\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 7\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 8\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 9\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 10\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  5\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  6\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 11\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 12\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 13\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 14\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  7\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  8\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 15\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 16\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 17\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 18\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 19\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 20\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 21\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 22\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 23\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 24\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 25\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 26\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 27\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 28\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 29\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 30\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 31\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  9\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  10\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  11\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  12\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 32\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 33\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 34\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 35\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  13\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  14\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  15\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 36\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 37\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 38\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 39\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 40\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 41\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 42\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  16\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 43\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 44\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 45\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  17\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 46\n"
     ]
    },
    {
     "data": {
      "text/plain": "<Figure size 1332x756 with 2 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": "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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": "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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "       power_per_minute  number_cars_charging\ncount       1441.000000           1441.000000\nmean         143.534007              2.185288\nstd          117.142239              1.409178\nmin            0.000000              0.000000\n25%           53.111584              1.000000\n50%          128.923458              2.000000\n75%          202.773539              3.000000\nmax          592.227064              4.000000",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>power_per_minute</th>\n      <th>number_cars_charging</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>count</th>\n      <td>1441.000000</td>\n      <td>1441.000000</td>\n    </tr>\n    <tr>\n      <th>mean</th>\n      <td>143.534007</td>\n      <td>2.185288</td>\n    </tr>\n    <tr>\n      <th>std</th>\n      <td>117.142239</td>\n      <td>1.409178</td>\n    </tr>\n    <tr>\n      <th>min</th>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>25%</th>\n      <td>53.111584</td>\n      <td>1.000000</td>\n    </tr>\n    <tr>\n      <th>50%</th>\n      <td>128.923458</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>75%</th>\n      <td>202.773539</td>\n      <td>3.000000</td>\n    </tr>\n    <tr>\n      <th>max</th>\n      <td>592.227064</td>\n      <td>4.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import importlib\n",
    "# import random\n",
    "import pandas as pd\n",
    "# import matplotlib.dates as mdates\n",
    "import json\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import model_v2\n",
    "importlib.reload(model_v2)\n",
    "\n",
    "with open(\"settings_model_charging-time.json\", \"r\") as f:\n",
    "    settings = json.load(f)\n",
    "\n",
    "df_results_returned = model_v2.simulation(\"settings_model_charging-time.json\")\n",
    "model_v2.plot(df_results_returned)\n",
    "df_results_returned.describe()\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-10-18T23:33:10.041228200Z",
     "start_time": "2023-10-18T23:33:07.476823900Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1332x756 with 2 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": "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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": "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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "model_v2.plot(df_results_returned)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-10-18T23:33:29.930524Z",
     "start_time": "2023-10-18T23:33:28.357058200Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "outputs": [
    {
     "data": {
      "text/plain": "<seaborn.axisgrid.FacetGrid at 0x22b9f6f2940>"
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 360x360 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "sns.displot(np.asarray(df_results_returned['power_per_minute']), kind=\"ecdf\")"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-10-18T23:33:36.003911900Z",
     "start_time": "2023-10-18T23:33:35.653286700Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Mehrere Durchläufe\n",
    "\n",
    "In folgendem Abschnitt wird die Simulation iterativ mehrere Male ausgeführt. Folglich kann ein gemittelter CDF-Plot zur Auswertung erstellt werden"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Alle Ladesäulen belegt. Abgewiesene EVs:  1\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 47\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 48\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 49\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 50\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 51\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  2\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 52\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 53\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 54\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  3\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 55\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  4\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  5\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 56\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  6\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  7\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 57\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  8\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 58\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 59\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 60\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 61\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 62\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  9\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 63\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 64\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 65\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 66\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 67\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  10\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 68\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 69\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 70\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 71\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  11\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 72\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  12\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  13\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 73\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 74\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 75\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 76\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 77\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 78\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 79\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  14\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  15\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  16\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  17\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  18\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 80\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 81\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 82\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 83\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 84\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  19\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  20\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 85\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 86\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 87\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 88\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  21\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 89\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  22\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  23\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  24\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 90\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  25\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  26\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 91\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 92\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 93\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 94\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 95\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  27\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 96\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 97\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 98\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 99\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  1\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 100\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 101\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 102\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 103\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 104\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 105\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 106\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 107\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 108\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 109\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  2\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  3\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 110\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 111\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 112\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 113\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 114\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 115\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  4\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  5\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  6\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 116\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 117\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 118\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 119\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 120\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 121\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 122\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 123\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 124\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  7\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  8\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 125\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 126\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 127\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 128\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 129\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 130\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 131\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 132\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 133\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 134\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 135\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 136\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 137\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 138\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  9\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 139\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 140\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 141\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  10\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 142\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 143\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 144\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 145\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 146\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 147\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 148\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  11\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 149\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 150\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 151\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  12\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 152\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 153\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 154\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 155\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  1\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 156\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 157\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 158\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  2\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 159\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 160\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 161\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 162\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 163\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 164\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 165\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  3\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 166\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 167\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 168\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 169\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 170\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 171\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 172\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 173\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 174\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 175\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 176\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 177\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 178\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 179\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 180\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  4\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  5\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  6\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 181\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 182\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 183\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 184\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 185\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 186\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 187\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 188\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  7\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  8\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 189\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 190\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 191\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 192\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 193\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 194\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 195\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  9\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 196\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 197\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 198\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 199\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  10\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 200\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 201\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 202\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  1\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  2\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  3\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 203\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 204\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 205\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 206\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 207\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 208\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 209\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  4\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 210\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 211\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 212\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  5\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  6\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 213\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 214\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 215\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 216\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 217\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 218\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 219\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 220\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 221\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 222\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  7\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  8\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 223\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 224\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 225\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 226\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 227\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 228\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 229\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 230\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  9\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 231\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 232\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 233\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 234\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 235\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 236\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 237\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 238\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  10\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 239\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  11\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 240\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 241\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 242\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 243\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 244\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 245\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 246\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 247\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  12\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  13\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  14\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 248\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 249\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 250\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 251\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 252\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 253\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 254\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  1\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  2\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  3\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 255\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 256\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 257\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  4\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 258\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 259\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  5\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  6\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  7\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 260\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 261\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 262\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 263\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 264\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 265\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  8\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 266\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  9\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 267\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 268\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 269\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 270\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  10\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 271\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 272\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 273\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 274\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 275\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 276\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  11\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 277\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 278\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 279\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 280\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 281\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 282\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 283\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 284\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 285\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  12\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  13\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 286\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 287\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 288\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 289\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 290\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 291\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 292\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 293\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 294\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  14\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  15\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 295\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  16\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 296\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 297\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 298\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 299\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 300\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  1\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  2\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 301\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 302\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  3\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  4\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  5\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 303\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  6\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 304\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 305\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 306\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 307\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  7\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 308\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  8\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 309\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 310\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 311\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 312\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 313\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 314\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 315\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 316\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  9\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 317\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 318\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 319\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 320\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 321\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 322\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 323\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  10\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 324\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  11\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  12\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 325\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 326\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 327\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 328\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 329\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  13\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  14\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 330\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  15\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 331\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 332\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 333\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 334\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 335\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 336\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 337\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 338\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 339\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 340\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  16\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 341\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 342\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 343\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 344\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  17\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 345\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 346\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 347\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 348\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 349\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 350\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  1\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 351\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 352\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 353\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  2\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  3\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  4\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  5\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 354\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 355\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 356\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 357\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 358\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  6\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 359\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 360\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 361\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 362\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 363\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 364\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 365\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 366\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  7\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  8\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 367\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 368\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 369\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  9\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 370\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 371\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  10\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  11\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  12\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 372\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 373\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 374\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 375\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  13\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 376\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 377\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 378\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 379\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 380\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 381\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 382\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  14\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 383\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  15\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  16\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  17\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 384\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  18\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 385\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 386\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  19\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 387\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 388\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 389\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  20\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 390\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 391\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 392\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  21\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 393\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 394\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 395\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  22\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 396\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 397\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 398\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 399\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  1\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 400\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 401\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 402\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 403\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 404\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  2\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 405\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  3\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 406\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 407\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 408\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 409\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  4\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 410\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  5\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 411\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 412\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 413\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 414\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 415\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 416\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 417\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 418\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 419\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  6\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  7\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  8\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  9\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  10\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 420\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 421\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 422\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 423\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 424\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 425\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 426\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 427\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  11\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 428\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 429\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 430\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 431\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 432\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 433\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  12\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 434\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 435\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 436\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 437\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 438\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 439\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 440\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 441\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 442\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 443\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 444\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 445\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  13\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 446\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  14\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  15\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 447\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 448\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  1\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  2\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 449\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 450\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 451\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 452\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 453\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 454\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  3\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  4\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 455\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 456\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 457\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  5\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 458\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  6\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 459\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 460\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 461\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 462\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  7\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  8\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 463\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 464\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 465\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 466\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 467\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 468\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  9\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 469\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 470\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 471\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 472\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 473\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 474\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 475\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 476\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  10\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 477\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 478\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 479\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 480\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 481\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 482\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 483\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 484\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 485\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 486\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 487\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 488\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 489\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 490\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 491\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 492\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  1\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  2\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  3\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  4\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  5\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  6\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 493\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 494\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 495\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 496\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 497\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  7\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 498\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 499\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  8\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  9\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 500\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 501\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 502\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 503\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 504\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 505\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  10\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  11\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 506\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  12\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 507\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  13\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 508\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 509\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 510\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 511\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 512\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 513\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 514\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 515\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 516\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  14\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 517\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 518\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 519\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  15\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 520\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 521\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 522\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 523\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 524\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 525\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 526\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  16\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  17\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 527\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 528\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 529\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 530\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 531\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 532\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 533\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 534\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 535\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 536\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 537\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 538\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 539\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  18\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 540\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  19\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 541\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 542\n",
      "Alle Ladesäulen belegt. Abgewiesene EVs:  20\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 543\n",
      "'Tesla_Model_S-X_LR' charged. Anzahl geladener EVs: 544\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 545\n",
      "'Porsche_Taycan' charged. Anzahl geladener EVs: 546\n",
      "'FIAT_500e_Hatchback_2021' charged. Anzahl geladener EVs: 547\n",
      "'VW_ID3_Pure' charged. Anzahl geladener EVs: 548\n",
      "'Tesla_Model_3_LR' charged. Anzahl geladener EVs: 549\n"
     ]
    }
   ],
   "source": [
    "df_results_10_runs = pd.DataFrame()\n",
    "\n",
    "for i in range(10):\n",
    "    df_results_returned = model_v2.simulation(\"settings_model_charging-time.json\")\n",
    "    df_results_10_runs[('load_run', i)] = df_results_returned.power_per_minute"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-10-18T23:34:01.852208400Z",
     "start_time": "2023-10-18T23:33:47.361375500Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "outputs": [
    {
     "data": {
      "text/plain": "       (load_run, 0)  (load_run, 1)  (load_run, 2)  (load_run, 3)  \\\ncount    1441.000000    1441.000000    1441.000000    1441.000000   \nmean      197.843912     192.590478     174.335517     153.615072   \nstd       124.283375     122.243685     117.557488     131.116996   \nmin         0.000000       0.000000       0.000000       0.000000   \n25%       100.828673     104.600746      80.009042      43.436706   \n50%       174.011522     178.581987     149.218609     136.476868   \n75%       284.044099     276.778353     248.447327     238.067599   \nmax       667.104809     592.345489     580.636393     651.861400   \n\n       (load_run, 4)  (load_run, 5)  (load_run, 6)  (load_run, 7)  \\\ncount    1441.000000    1441.000000    1441.000000    1441.000000   \nmean      165.595289     184.150855     169.851857     187.589068   \nstd       107.001144     112.541326     104.207839     122.681207   \nmin         0.000000       0.000000       0.000000       0.000000   \n25%        81.794611      93.749178      95.862218      88.575471   \n50%       153.491335     174.410416     160.161486     176.751347   \n75%       232.674146     254.700369     232.547026     275.175173   \nmax       552.454751     596.199372     583.187521     546.125419   \n\n       (load_run, 8)  (load_run, 9)  \ncount    1441.000000    1441.000000  \nmean      146.180588     200.441904  \nstd       121.183323     118.405502  \nmin         0.000000       0.000000  \n25%        44.016323     114.376538  \n50%       123.816311     184.275547  \n75%       216.652428     273.932838  \nmax       557.702010     602.182708  ",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>(load_run, 0)</th>\n      <th>(load_run, 1)</th>\n      <th>(load_run, 2)</th>\n      <th>(load_run, 3)</th>\n      <th>(load_run, 4)</th>\n      <th>(load_run, 5)</th>\n      <th>(load_run, 6)</th>\n      <th>(load_run, 7)</th>\n      <th>(load_run, 8)</th>\n      <th>(load_run, 9)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>count</th>\n      <td>1441.000000</td>\n      <td>1441.000000</td>\n      <td>1441.000000</td>\n      <td>1441.000000</td>\n      <td>1441.000000</td>\n      <td>1441.000000</td>\n      <td>1441.000000</td>\n      <td>1441.000000</td>\n      <td>1441.000000</td>\n      <td>1441.000000</td>\n    </tr>\n    <tr>\n      <th>mean</th>\n      <td>197.843912</td>\n      <td>192.590478</td>\n      <td>174.335517</td>\n      <td>153.615072</td>\n      <td>165.595289</td>\n      <td>184.150855</td>\n      <td>169.851857</td>\n      <td>187.589068</td>\n      <td>146.180588</td>\n      <td>200.441904</td>\n    </tr>\n    <tr>\n      <th>std</th>\n      <td>124.283375</td>\n      <td>122.243685</td>\n      <td>117.557488</td>\n      <td>131.116996</td>\n      <td>107.001144</td>\n      <td>112.541326</td>\n      <td>104.207839</td>\n      <td>122.681207</td>\n      <td>121.183323</td>\n      <td>118.405502</td>\n    </tr>\n    <tr>\n      <th>min</th>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>25%</th>\n      <td>100.828673</td>\n      <td>104.600746</td>\n      <td>80.009042</td>\n      <td>43.436706</td>\n      <td>81.794611</td>\n      <td>93.749178</td>\n      <td>95.862218</td>\n      <td>88.575471</td>\n      <td>44.016323</td>\n      <td>114.376538</td>\n    </tr>\n    <tr>\n      <th>50%</th>\n      <td>174.011522</td>\n      <td>178.581987</td>\n      <td>149.218609</td>\n      <td>136.476868</td>\n      <td>153.491335</td>\n      <td>174.410416</td>\n      <td>160.161486</td>\n      <td>176.751347</td>\n      <td>123.816311</td>\n      <td>184.275547</td>\n    </tr>\n    <tr>\n      <th>75%</th>\n      <td>284.044099</td>\n      <td>276.778353</td>\n      <td>248.447327</td>\n      <td>238.067599</td>\n      <td>232.674146</td>\n      <td>254.700369</td>\n      <td>232.547026</td>\n      <td>275.175173</td>\n      <td>216.652428</td>\n      <td>273.932838</td>\n    </tr>\n    <tr>\n      <th>max</th>\n      <td>667.104809</td>\n      <td>592.345489</td>\n      <td>580.636393</td>\n      <td>651.861400</td>\n      <td>552.454751</td>\n      <td>596.199372</td>\n      <td>583.187521</td>\n      <td>546.125419</td>\n      <td>557.702010</td>\n      <td>602.182708</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_results_10_runs.describe()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-10-18T23:34:03.175574100Z",
     "start_time": "2023-10-18T23:34:03.097039800Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Anschließend wird über die Durchläufe gemittelt der CDF geplottet"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "outputs": [
    {
     "data": {
      "text/plain": "<seaborn.axisgrid.FacetGrid at 0x22b9f721ac0>"
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 401.625x360 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(df_results_10_runs.values, kind=\"ecdf\")"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-10-18T23:34:06.319565500Z",
     "start_time": "2023-10-18T23:34:05.769634400Z"
    }
   }
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "tf",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.12"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}