{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Explore NREL-118 Data\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The dataset contains information about the IEEE-118 power system with several modifications (further \"NREL-118\"), which are presented and described [in the paper \"An Extended IEEE 118-Bus Test System With High Renewable Penetration\"](https://ieeexplore.ieee.org/document/7904729).\n",
    "\n",
    "The data were downloaded using [this script](../scripts/download_nrel118.py) and stored [here](../data/raw/nrel118) in several files, which are explained below. The description given in this notebook is mostly from the paper and [from the FAQ file](../data/raw/nrel118/additional-files-mti-118/FAQ%20on%20NREL%20118.docx)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "\n",
    "# To use seaborn style for plots\n",
    "sns.set_style(\"darkgrid\", {\"axes.facecolor\": \".9\"})\n",
    "sns.set_context(\"talk\")\n",
    "sns_palette = sns.color_palette(plt.cm.get_cmap(\"tab20c\").colors)\n",
    "\n",
    "# Path to the folder with data\n",
    "path_data = os.path.join(\"..\", \"data\", \"raw\", \"nrel118\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Power System Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Path to the folder with power system data\n",
    "power_system_files = os.path.join(path_data, \"additional-files-mti-118\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Buses"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The model is based on IIT 2004 transmission representation that is saved [here](../data/raw/jeas118/JEAS_IEEE118.doc). However, the NREL-118 system consists of three regions, each of which has a different load profile."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "  Bus Name Region  Load Participation Factor\n0   bus026     R1                   0.000000\n1   bus010     R1                   0.000000\n2   bus025     R1                   0.000000\n3   bus012     R1                   0.043466\n4   bus015     R1                   0.083238",
      "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>Bus Name</th>\n      <th>Region</th>\n      <th>Load Participation Factor</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>bus026</td>\n      <td>R1</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>bus010</td>\n      <td>R1</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>bus025</td>\n      <td>R1</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>bus012</td>\n      <td>R1</td>\n      <td>0.043466</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>bus015</td>\n      <td>R1</td>\n      <td>0.083238</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load data\n",
    "buses = pd.read_csv(\n",
    "    filepath_or_buffer=os.path.join(power_system_files, \"Buses.csv\"), header=0\n",
    ")\n",
    "buses.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The system has 118 buses.\n"
     ]
    }
   ],
   "source": [
    "# Ensure bus names are unique\n",
    "assert buses[\"Bus Name\"].is_unique, \"Bus names are not unique.\"\n",
    "\n",
    "# Get the number of buses\n",
    "print(f\"The system has {len(buses)} buses.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "R2    48\nR1    42\nR3    28\nName: Region, dtype: int64"
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Each bus belongs to one of three regions\n",
    "buses[\"Region\"].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The variable `Load Participation Factor` means the portion of region load that is placed in the current bus. The factors were also taken from the IIT 2004 system and normalized by region."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "R2    37\nR1    30\nR3    24\nName: Region, dtype: int64"
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Number of buses with load per regions\n",
    "loads = buses[\"Load Participation Factor\"] > 0\n",
    "buses.loc[loads, \"Region\"].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lines"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The line characteristics taken [from the IIT 2004 version](../data/raw/jeas118/JEAS_IEEE118.doc) are the reactance and resistance (pu). IIT lines’ maximum flow levels were multiplied by the factor by which total system’s installed capacity increased (x3.5) and rounded for convenience."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "  Line Name Bus from   Bus to  Max Flow (MW)  Min Flow (MW)  Reactance (p.u.)  \\\n0   line001    bus001  bus002            600           -600           0.09990   \n1   line002    bus001  bus003            600           -600           0.04240   \n2   line003    bus004  bus005           1700          -1700           0.00798   \n3   line004    bus003  bus005            600           -600           0.10800   \n4   line005    bus005  bus006            600           -600           0.05400   \n\n   Resistance (p.u.)  \n0            0.03030  \n1            0.01290  \n2            0.00176  \n3            0.02410  \n4            0.01190  ",
      "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>Line Name</th>\n      <th>Bus from</th>\n      <th>Bus to</th>\n      <th>Max Flow (MW)</th>\n      <th>Min Flow (MW)</th>\n      <th>Reactance (p.u.)</th>\n      <th>Resistance (p.u.)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>line001</td>\n      <td>bus001</td>\n      <td>bus002</td>\n      <td>600</td>\n      <td>-600</td>\n      <td>0.09990</td>\n      <td>0.03030</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>line002</td>\n      <td>bus001</td>\n      <td>bus003</td>\n      <td>600</td>\n      <td>-600</td>\n      <td>0.04240</td>\n      <td>0.01290</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>line003</td>\n      <td>bus004</td>\n      <td>bus005</td>\n      <td>1700</td>\n      <td>-1700</td>\n      <td>0.00798</td>\n      <td>0.00176</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>line004</td>\n      <td>bus003</td>\n      <td>bus005</td>\n      <td>600</td>\n      <td>-600</td>\n      <td>0.10800</td>\n      <td>0.02410</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>line005</td>\n      <td>bus005</td>\n      <td>bus006</td>\n      <td>600</td>\n      <td>-600</td>\n      <td>0.05400</td>\n      <td>0.01190</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load data\n",
    "lines = pd.read_csv(\n",
    "    filepath_or_buffer=os.path.join(power_system_files, \"Lines.csv\"), header=0\n",
    ")\n",
    "inter_lines = pd.read_csv(\n",
    "    filepath_or_buffer=os.path.join(power_system_files, \"Interregional lines.csv\"),\n",
    "    header=0,\n",
    ")\n",
    "\n",
    "# The meaning of the columns can be easily obtained from their names\n",
    "lines.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The system has 186 lines.\n"
     ]
    }
   ],
   "source": [
    "# Ensure line names are unique\n",
    "assert lines[\"Line Name\"].is_unique, \"Line names are not unique.\"\n",
    "\n",
    "# Get the number of lines\n",
    "print(f\"The system has {len(lines)} lines.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "      Line Node From  Node To Region node from Region node to  \\\n0  line001   node001  node002               R1             R1   \n1  line002   node001  node003               R1             R1   \n2  line003   node004  node005               R1             R1   \n3  line004   node003  node005               R1             R1   \n4  line005   node005  node006               R1             R1   \n\n   Is line crossing regions? (1=yes)  Line capacity of inter-regional lines  \n0                                  0                                    NaN  \n1                                  0                                    NaN  \n2                                  0                                    NaN  \n3                                  0                                    NaN  \n4                                  0                                    NaN  ",
      "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>Line</th>\n      <th>Node From</th>\n      <th>Node To</th>\n      <th>Region node from</th>\n      <th>Region node to</th>\n      <th>Is line crossing regions? (1=yes)</th>\n      <th>Line capacity of inter-regional lines</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>line001</td>\n      <td>node001</td>\n      <td>node002</td>\n      <td>R1</td>\n      <td>R1</td>\n      <td>0</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>line002</td>\n      <td>node001</td>\n      <td>node003</td>\n      <td>R1</td>\n      <td>R1</td>\n      <td>0</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>line003</td>\n      <td>node004</td>\n      <td>node005</td>\n      <td>R1</td>\n      <td>R1</td>\n      <td>0</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>line004</td>\n      <td>node003</td>\n      <td>node005</td>\n      <td>R1</td>\n      <td>R1</td>\n      <td>0</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>line005</td>\n      <td>node005</td>\n      <td>node006</td>\n      <td>R1</td>\n      <td>R1</td>\n      <td>0</td>\n      <td>NaN</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# This shows which lines are between regions\n",
    "# The meaning of the columns can be easily obtained from their names\n",
    "inter_lines.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "        Line Node From  Node To Region node from Region node to  \\\n174  line044   node015  node033               R1             R2   \n175  line045   node019  node034               R1             R2   \n176  line054   node030  node038               R1             R2   \n177  line108   node069  node070               R2             R1   \n178  line116   node069  node075               R2             R1   \n179  line120   node075  node077               R1             R2   \n180  line128   node077  node082               R2             R3   \n181  line148   node080  node096               R2             R3   \n182  line157   node096  node097               R3             R2   \n183  line158   node098  node100               R2             R3   \n184  line159   node099  node100               R2             R3   \n185  line185   node075  node118               R1             R2   \n\n     Is line crossing regions? (1=yes)  Line capacity of inter-regional lines  \n174                                  1                                  600.0  \n175                                  1                                  600.0  \n176                                  1                                  600.0  \n177                                  1                                 1700.0  \n178                                  1                                 1700.0  \n179                                  1                                  600.0  \n180                                  1                                  700.0  \n181                                  1                                  600.0  \n182                                  1                                  600.0  \n183                                  1                                  600.0  \n184                                  1                                  600.0  \n185                                  1                                  600.0  ",
      "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>Line</th>\n      <th>Node From</th>\n      <th>Node To</th>\n      <th>Region node from</th>\n      <th>Region node to</th>\n      <th>Is line crossing regions? (1=yes)</th>\n      <th>Line capacity of inter-regional lines</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>174</th>\n      <td>line044</td>\n      <td>node015</td>\n      <td>node033</td>\n      <td>R1</td>\n      <td>R2</td>\n      <td>1</td>\n      <td>600.0</td>\n    </tr>\n    <tr>\n      <th>175</th>\n      <td>line045</td>\n      <td>node019</td>\n      <td>node034</td>\n      <td>R1</td>\n      <td>R2</td>\n      <td>1</td>\n      <td>600.0</td>\n    </tr>\n    <tr>\n      <th>176</th>\n      <td>line054</td>\n      <td>node030</td>\n      <td>node038</td>\n      <td>R1</td>\n      <td>R2</td>\n      <td>1</td>\n      <td>600.0</td>\n    </tr>\n    <tr>\n      <th>177</th>\n      <td>line108</td>\n      <td>node069</td>\n      <td>node070</td>\n      <td>R2</td>\n      <td>R1</td>\n      <td>1</td>\n      <td>1700.0</td>\n    </tr>\n    <tr>\n      <th>178</th>\n      <td>line116</td>\n      <td>node069</td>\n      <td>node075</td>\n      <td>R2</td>\n      <td>R1</td>\n      <td>1</td>\n      <td>1700.0</td>\n    </tr>\n    <tr>\n      <th>179</th>\n      <td>line120</td>\n      <td>node075</td>\n      <td>node077</td>\n      <td>R1</td>\n      <td>R2</td>\n      <td>1</td>\n      <td>600.0</td>\n    </tr>\n    <tr>\n      <th>180</th>\n      <td>line128</td>\n      <td>node077</td>\n      <td>node082</td>\n      <td>R2</td>\n      <td>R3</td>\n      <td>1</td>\n      <td>700.0</td>\n    </tr>\n    <tr>\n      <th>181</th>\n      <td>line148</td>\n      <td>node080</td>\n      <td>node096</td>\n      <td>R2</td>\n      <td>R3</td>\n      <td>1</td>\n      <td>600.0</td>\n    </tr>\n    <tr>\n      <th>182</th>\n      <td>line157</td>\n      <td>node096</td>\n      <td>node097</td>\n      <td>R3</td>\n      <td>R2</td>\n      <td>1</td>\n      <td>600.0</td>\n    </tr>\n    <tr>\n      <th>183</th>\n      <td>line158</td>\n      <td>node098</td>\n      <td>node100</td>\n      <td>R2</td>\n      <td>R3</td>\n      <td>1</td>\n      <td>600.0</td>\n    </tr>\n    <tr>\n      <th>184</th>\n      <td>line159</td>\n      <td>node099</td>\n      <td>node100</td>\n      <td>R2</td>\n      <td>R3</td>\n      <td>1</td>\n      <td>600.0</td>\n    </tr>\n    <tr>\n      <th>185</th>\n      <td>line185</td>\n      <td>node075</td>\n      <td>node118</td>\n      <td>R1</td>\n      <td>R2</td>\n      <td>1</td>\n      <td>600.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Show only interregional lines\n",
    "inter_lines[inter_lines[\"Is line crossing regions? (1=yes)\"] == 1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Generators\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The total electricity generation capacity installed was increased 3.5 times compared to the original IEEE-118 system, but the generation distribution throughout the buses was maintained after normalizing the participation factors by region.\n",
    "\n",
    "The dataset contains 10 types of generators: steam turbines (ST) powered by coal, gas and other fuels, internal combustion engines (ICE) powered by gas, combustion turbines (CT) powered by gas and oil, gas combined-cycle turbines (CC), photovoltaics (referred simply as solar), hydro and biomass generators, and wind turbines.\n",
    "\n",
    "All the generators have the following parameters: maximum capacity (MW), minimum stable level (MW), heat rate base (MMBTU/h), heat rate increment (BTU/kWh), load point (MW), start cost (\\\\$), VO&M charge (\\\\$/MWh), minimum up time (h), minimum down time (h), maximum ramp up (MW/min), maximum ramp down (MW/min)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "  Generator Name Node of connection         Category  Units  \\\n0     Biomass 01            node012  1. Committed DA    1.0   \n1     Biomass 02            node012  1. Committed DA    1.0   \n2     Biomass 03            node103  1. Committed DA    1.0   \n3     Biomass 04            node103  1. Committed DA    1.0   \n4     Biomass 05            node012  1. Committed DA    1.0   \n\n   Max Capacity (MW)  Commit Data File of Commit Scenario of Commit  \\\n0                3.0     0.0               DA UC                 RT   \n1                3.0     0.0               DA UC                 RT   \n2                1.2     0.0               DA UC                 RT   \n3                1.2     0.0               DA UC                 RT   \n4                1.3     0.0               DA UC                 RT   \n\n   Heat Rate Base (MMBTU/hr)  Heat Rate Inc Band 1 (BTU/kWh)  ...  \\\n0                      10.91                         12120.0  ...   \n1                      10.91                         12120.0  ...   \n2                       4.36                         12120.0  ...   \n3                       4.36                         12120.0  ...   \n4                       4.73                         12120.0  ...   \n\n   Max Ramp Up (MW/min)  Max Ramp Up Penalty ($/MW)  Min Down Time (h)  \\\n0                  0.42                       450.0                1.0   \n1                  0.42                       450.0                1.0   \n2                  0.42                       450.0                1.0   \n3                  0.42                       450.0                1.0   \n4                  0.42                       450.0                6.0   \n\n   Min Up Time (h)  Min Stable Level (MW)  % of min stable level  \\\n0              1.0                   0.90                    30%   \n1              1.0                   0.90                    30%   \n2              1.0                   0.36                    30%   \n3              1.0                   0.36                    30%   \n4              6.0                   0.26                    20%   \n\n   New stable level (MW)  Escalator of Min Stable Level  Start Cost ($)  \\\n0                   0.90                     Biomass 01           15.90   \n1                   0.90                     Biomass 02           15.90   \n2                   0.36                     Biomass 03            6.36   \n3                   0.36                     Biomass 04            6.36   \n4                   0.26                     Biomass 05            6.89   \n\n  VO&M Charge ($/MWh)  \n0                1.91  \n1                1.91  \n2                1.91  \n3                1.91  \n4                1.91  \n\n[5 rows x 32 columns]",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Generator Name</th>\n      <th>Node of connection</th>\n      <th>Category</th>\n      <th>Units</th>\n      <th>Max Capacity (MW)</th>\n      <th>Commit</th>\n      <th>Data File of Commit</th>\n      <th>Scenario of Commit</th>\n      <th>Heat Rate Base (MMBTU/hr)</th>\n      <th>Heat Rate Inc Band 1 (BTU/kWh)</th>\n      <th>...</th>\n      <th>Max Ramp Up (MW/min)</th>\n      <th>Max Ramp Up Penalty ($/MW)</th>\n      <th>Min Down Time (h)</th>\n      <th>Min Up Time (h)</th>\n      <th>Min Stable Level (MW)</th>\n      <th>% of min stable level</th>\n      <th>New stable level (MW)</th>\n      <th>Escalator of Min Stable Level</th>\n      <th>Start Cost ($)</th>\n      <th>VO&amp;M Charge ($/MWh)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Biomass 01</td>\n      <td>node012</td>\n      <td>1. Committed DA</td>\n      <td>1.0</td>\n      <td>3.0</td>\n      <td>0.0</td>\n      <td>DA UC</td>\n      <td>RT</td>\n      <td>10.91</td>\n      <td>12120.0</td>\n      <td>...</td>\n      <td>0.42</td>\n      <td>450.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>0.90</td>\n      <td>30%</td>\n      <td>0.90</td>\n      <td>Biomass 01</td>\n      <td>15.90</td>\n      <td>1.91</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Biomass 02</td>\n      <td>node012</td>\n      <td>1. Committed DA</td>\n      <td>1.0</td>\n      <td>3.0</td>\n      <td>0.0</td>\n      <td>DA UC</td>\n      <td>RT</td>\n      <td>10.91</td>\n      <td>12120.0</td>\n      <td>...</td>\n      <td>0.42</td>\n      <td>450.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>0.90</td>\n      <td>30%</td>\n      <td>0.90</td>\n      <td>Biomass 02</td>\n      <td>15.90</td>\n      <td>1.91</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Biomass 03</td>\n      <td>node103</td>\n      <td>1. Committed DA</td>\n      <td>1.0</td>\n      <td>1.2</td>\n      <td>0.0</td>\n      <td>DA UC</td>\n      <td>RT</td>\n      <td>4.36</td>\n      <td>12120.0</td>\n      <td>...</td>\n      <td>0.42</td>\n      <td>450.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>0.36</td>\n      <td>30%</td>\n      <td>0.36</td>\n      <td>Biomass 03</td>\n      <td>6.36</td>\n      <td>1.91</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Biomass 04</td>\n      <td>node103</td>\n      <td>1. Committed DA</td>\n      <td>1.0</td>\n      <td>1.2</td>\n      <td>0.0</td>\n      <td>DA UC</td>\n      <td>RT</td>\n      <td>4.36</td>\n      <td>12120.0</td>\n      <td>...</td>\n      <td>0.42</td>\n      <td>450.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>0.36</td>\n      <td>30%</td>\n      <td>0.36</td>\n      <td>Biomass 04</td>\n      <td>6.36</td>\n      <td>1.91</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Biomass 05</td>\n      <td>node012</td>\n      <td>1. Committed DA</td>\n      <td>1.0</td>\n      <td>1.3</td>\n      <td>0.0</td>\n      <td>DA UC</td>\n      <td>RT</td>\n      <td>4.73</td>\n      <td>12120.0</td>\n      <td>...</td>\n      <td>0.42</td>\n      <td>450.0</td>\n      <td>6.0</td>\n      <td>6.0</td>\n      <td>0.26</td>\n      <td>20%</td>\n      <td>0.26</td>\n      <td>Biomass 05</td>\n      <td>6.89</td>\n      <td>1.91</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows × 32 columns</p>\n</div>"
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load data\n",
    "gens = pd.read_csv(\n",
    "    filepath_or_buffer=os.path.join(power_system_files, \"Generators.csv\"),\n",
    "    header=0,\n",
    "    sep=\";\",\n",
    "    decimal=\",\",\n",
    ").dropna(how=\"all\")\n",
    "gens.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Generator Name' 'Node of connection' 'Category' 'Units'\n",
      " 'Max Capacity (MW)' 'Commit' 'Data File of Commit' 'Scenario of Commit'\n",
      " 'Heat Rate Base (MMBTU/hr)' 'Heat Rate Inc Band 1 (BTU/kWh)'\n",
      " 'Heat Rate Inc Band 2 (BTU/kWh)' 'Heat Rate Inc Band 3 (BTU/kWh)'\n",
      " 'Heat Rate Inc Band 4 (BTU/kWh)' 'Heat Rate Inc Band 5 (BTU/kWh)'\n",
      " 'Load Point Band 1 (MW)' 'Load Point Band 2 (MW)'\n",
      " 'Load Point Band 3 (MW)' 'Load Point Band 4 (MW)'\n",
      " 'Load Point Band 5 (MW)' 'Escalator of Load Point (all bands)'\n",
      " 'Max Ramp Down (MW/min)' 'Max Ramp Down Penalty ($/MW)'\n",
      " 'Max Ramp Up (MW/min)' 'Max Ramp Up Penalty ($/MW)' 'Min Down Time (h)'\n",
      " 'Min Up Time (h)' 'Min Stable Level (MW)' '% of min stable level'\n",
      " 'New stable level (MW)' 'Escalator of Min Stable Level' 'Start Cost ($)'\n",
      " 'VO&M Charge ($/MWh)']\n"
     ]
    }
   ],
   "source": [
    "# All generator parameters\n",
    "print(gens.columns.values)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Some parameters require explanation:\n",
    "- \"Category\" --- there are five categories here (Committed DA, Committed RT, Solar, Wind, Hydro). Slow generators have to commit in DA, and very fast generators do not need to commit one day ahead of schedule.\n",
    "- \"Units\" --- here each generator corresponds to one unit.\n",
    "- \"Commit\", \"Data File of Commit\", and \"Scenario of Commit\" --- \"Commit\" variable used [by Plexos](https://www.energyexemplar.com/plexos) to understand which generators can commit in which model/market. Commit >= 0 means a hard constraint, commit = 0 (do no commit). Commit =- 1 is the default value, i.e. that unit is left without a hard constraint and can commit freely based on the optimization. See more information about \"Commit\", \"Data File of Commit\", and \"Scenario of Commit\" [in the FAQ](../data/raw/nrel118/additional-files-mti-118/FAQ%20on%20NREL%20118.docx).\n",
    "- \"Escalator of Min Stable Level\" and \"Escalator of Load Point (all bands)\" --- escalators are used to adjust generation profile to seasons, see [Section \"Escalators\"](#Escalators)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The system has 327 generators.\n"
     ]
    }
   ],
   "source": [
    "# Ensure generator names are unique\n",
    "assert gens[\"Generator Name\"].is_unique, \"Generator names are not unique.\"\n",
    "\n",
    "# Get the number of generators\n",
    "print(f\"The system has {len(gens)} generators.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "                 Capacity, MW  Count\nRegion Gen Type                     \nR1     Biomass          58.25     35\n       CC             5812.07     19\n       CT             1579.80     27\n       Hydro             0.80      1\n       ST             1537.20      8\n       Solar          1205.97     33\n       Wind            328.90     13\nR2     Biomass          16.50      4\n       CC             1743.86      7\n       CT              516.90      9\n       Geo              22.00      1\n       Hydro         18643.47     40\n       ICE              50.40      6\n       Solar           444.37      5\nR3     Biomass          40.17     23\n       CC             3436.13     12\n       CT             1549.30     35\n       Hydro             6.00      2\n       ICE               3.25      1\n       ST              978.35      5\n       Solar          1795.43     37\n       Wind            749.00      4",
      "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></th>\n      <th>Capacity, MW</th>\n      <th>Count</th>\n    </tr>\n    <tr>\n      <th>Region</th>\n      <th>Gen Type</th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th rowspan=\"7\" valign=\"top\">R1</th>\n      <th>Biomass</th>\n      <td>58.25</td>\n      <td>35</td>\n    </tr>\n    <tr>\n      <th>CC</th>\n      <td>5812.07</td>\n      <td>19</td>\n    </tr>\n    <tr>\n      <th>CT</th>\n      <td>1579.80</td>\n      <td>27</td>\n    </tr>\n    <tr>\n      <th>Hydro</th>\n      <td>0.80</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>ST</th>\n      <td>1537.20</td>\n      <td>8</td>\n    </tr>\n    <tr>\n      <th>Solar</th>\n      <td>1205.97</td>\n      <td>33</td>\n    </tr>\n    <tr>\n      <th>Wind</th>\n      <td>328.90</td>\n      <td>13</td>\n    </tr>\n    <tr>\n      <th rowspan=\"7\" valign=\"top\">R2</th>\n      <th>Biomass</th>\n      <td>16.50</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>CC</th>\n      <td>1743.86</td>\n      <td>7</td>\n    </tr>\n    <tr>\n      <th>CT</th>\n      <td>516.90</td>\n      <td>9</td>\n    </tr>\n    <tr>\n      <th>Geo</th>\n      <td>22.00</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>Hydro</th>\n      <td>18643.47</td>\n      <td>40</td>\n    </tr>\n    <tr>\n      <th>ICE</th>\n      <td>50.40</td>\n      <td>6</td>\n    </tr>\n    <tr>\n      <th>Solar</th>\n      <td>444.37</td>\n      <td>5</td>\n    </tr>\n    <tr>\n      <th rowspan=\"8\" valign=\"top\">R3</th>\n      <th>Biomass</th>\n      <td>40.17</td>\n      <td>23</td>\n    </tr>\n    <tr>\n      <th>CC</th>\n      <td>3436.13</td>\n      <td>12</td>\n    </tr>\n    <tr>\n      <th>CT</th>\n      <td>1549.30</td>\n      <td>35</td>\n    </tr>\n    <tr>\n      <th>Hydro</th>\n      <td>6.00</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>ICE</th>\n      <td>3.25</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>ST</th>\n      <td>978.35</td>\n      <td>5</td>\n    </tr>\n    <tr>\n      <th>Solar</th>\n      <td>1795.43</td>\n      <td>37</td>\n    </tr>\n    <tr>\n      <th>Wind</th>\n      <td>749.00</td>\n      <td>4</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Show the distribution of generation by type and region\n",
    "gen_type = gens[\"Generator Name\"].str.split(\" \").str[0].rename(\"Gen Type\").to_frame()\n",
    "gen_type[\"Capacity, MW\"] = gens[\"Max Capacity (MW)\"]\n",
    "bus_regions = buses[[\"Bus Name\", \"Region\"]]\n",
    "bus_regions[\"Bus\"] = (\n",
    "    bus_regions[\"Bus Name\"].str.lstrip(\"bus\").str.lstrip(\"0\").astype(int)\n",
    ")\n",
    "gen_type[\"Bus\"] = (\n",
    "    gens[\"Node of connection\"].str.lstrip(\"node\").str.lstrip(\"0\").astype(int)\n",
    ")\n",
    "gen_type = pd.merge(gen_type, bus_regions[[\"Region\", \"Bus\"]], on=\"Bus\", how=\"left\")\n",
    "gen_type[\"Count\"] = 1\n",
    "gen_stat_reg_type = pd.pivot_table(\n",
    "    gen_type,\n",
    "    values=[\"Capacity, MW\", \"Count\"],\n",
    "    index=[\"Region\", \"Gen Type\"],\n",
    "    aggfunc=np.sum,\n",
    ")\n",
    "gen_stat_reg_type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "        Capacity, MW  Count\nRegion                     \nR1          10522.99    136\nR2          21437.50     72\nR3           8557.63    119",
      "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>Capacity, MW</th>\n      <th>Count</th>\n    </tr>\n    <tr>\n      <th>Region</th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>R1</th>\n      <td>10522.99</td>\n      <td>136</td>\n    </tr>\n    <tr>\n      <th>R2</th>\n      <td>21437.50</td>\n      <td>72</td>\n    </tr>\n    <tr>\n      <th>R3</th>\n      <td>8557.63</td>\n      <td>119</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Show the distribution of generation by region only\n",
    "gen_stat_reg = pd.pivot_table(\n",
    "    gen_type,\n",
    "    values=[\"Capacity, MW\", \"Count\"],\n",
    "    index=[\"Region\"],\n",
    "    aggfunc=np.sum,\n",
    ")\n",
    "gen_stat_reg"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Hydro generators"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The model includes 15 dispatchable and 28 non-dispatchable hydro generators. This means that the dispatch level of 15 hydro units is estimated according to the optimal system operation.\n",
    "\n",
    "On the other side, 28 hydro generators are constrained to a fixed generation. Four of the 28 non-dispatchable units (Hydro 36-39) have a fixed load defined per month (presented in this section), and the other 24 non-dispatchable (Hydro 40-43, Hydro 16-35) units have a fixed load defined with a time series file (presented [in section \"Time-series data\"](#Time-Series-Data))."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "   Generator    Property  Value Units  Band  Date From  Date To Timeslice  \\\n20  Hydro 36  Fixed Load   0.51    MW     1        NaN      NaN        M1   \n21  Hydro 36  Fixed Load   0.43    MW     1        NaN      NaN       M10   \n22  Hydro 36  Fixed Load   0.41    MW     1        NaN      NaN       M11   \n23  Hydro 36  Fixed Load   0.41    MW     1        NaN      NaN       M12   \n24  Hydro 36  Fixed Load   0.54    MW     1        NaN      NaN        M2   \n25  Hydro 36  Fixed Load   0.56    MW     1        NaN      NaN        M3   \n26  Hydro 36  Fixed Load   0.69    MW     1        NaN      NaN        M4   \n27  Hydro 36  Fixed Load   0.90    MW     1        NaN      NaN        M5   \n28  Hydro 36  Fixed Load   0.93    MW     1        NaN      NaN        M6   \n29  Hydro 36  Fixed Load   0.90    MW     1        NaN      NaN        M7   \n\n    Escalator Data File  Scenario  Memo Category  \n20        NaN       NaN       NaN   NaN    Hydro  \n21        NaN       NaN       NaN   NaN    Hydro  \n22        NaN       NaN       NaN   NaN    Hydro  \n23        NaN       NaN       NaN   NaN    Hydro  \n24        NaN       NaN       NaN   NaN    Hydro  \n25        NaN       NaN       NaN   NaN    Hydro  \n26        NaN       NaN       NaN   NaN    Hydro  \n27        NaN       NaN       NaN   NaN    Hydro  \n28        NaN       NaN       NaN   NaN    Hydro  \n29        NaN       NaN       NaN   NaN    Hydro  ",
      "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>Generator</th>\n      <th>Property</th>\n      <th>Value</th>\n      <th>Units</th>\n      <th>Band</th>\n      <th>Date From</th>\n      <th>Date To</th>\n      <th>Timeslice</th>\n      <th>Escalator</th>\n      <th>Data File</th>\n      <th>Scenario</th>\n      <th>Memo</th>\n      <th>Category</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>20</th>\n      <td>Hydro 36</td>\n      <td>Fixed Load</td>\n      <td>0.51</td>\n      <td>MW</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>M1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>Hydro</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>Hydro 36</td>\n      <td>Fixed Load</td>\n      <td>0.43</td>\n      <td>MW</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>M10</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>Hydro</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>Hydro 36</td>\n      <td>Fixed Load</td>\n      <td>0.41</td>\n      <td>MW</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>M11</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>Hydro</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>Hydro 36</td>\n      <td>Fixed Load</td>\n      <td>0.41</td>\n      <td>MW</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>M12</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>Hydro</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>Hydro 36</td>\n      <td>Fixed Load</td>\n      <td>0.54</td>\n      <td>MW</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>M2</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>Hydro</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>Hydro 36</td>\n      <td>Fixed Load</td>\n      <td>0.56</td>\n      <td>MW</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>M3</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>Hydro</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>Hydro 36</td>\n      <td>Fixed Load</td>\n      <td>0.69</td>\n      <td>MW</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>M4</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>Hydro</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td>Hydro 36</td>\n      <td>Fixed Load</td>\n      <td>0.90</td>\n      <td>MW</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>M5</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>Hydro</td>\n    </tr>\n    <tr>\n      <th>28</th>\n      <td>Hydro 36</td>\n      <td>Fixed Load</td>\n      <td>0.93</td>\n      <td>MW</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>M6</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>Hydro</td>\n    </tr>\n    <tr>\n      <th>29</th>\n      <td>Hydro 36</td>\n      <td>Fixed Load</td>\n      <td>0.90</td>\n      <td>MW</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>M7</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>Hydro</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load data\n",
    "hydro = pd.read_csv(\n",
    "    filepath_or_buffer=os.path.join(power_system_files, \"Hydro_nondipatchable.csv\"),\n",
    "    header=0,\n",
    ")\n",
    "\n",
    "hydros_36_39 = hydro[\"Generator\"].isin([\"Hydro 36\", \"Hydro 37\", \"Hydro 38\", \"Hydro 39\"])\n",
    "hydro[hydros_36_39].head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Escalators"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Thr escalators are simple multipliers of certain generator characteristics. They are used to adjust a certain generation profile to seasons or other time slices.\n",
    "\n",
    "In this case, escalators adjust minimum stable level, load point and rating, per month. Thus, each of these generator characteristics will be scaled based on the escalator for each month of the year. Escalators are applied to all the generators, except wind, solar and hydro.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "   Escalator   Value Timeslice (month)\n0  Biomass 1  0.3500                M1\n1  Biomass 1  0.3433               M10\n2  Biomass 1  0.3733               M11\n3  Biomass 1  0.3533               M12\n4  Biomass 1  0.3700                M2",
      "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>Escalator</th>\n      <th>Value</th>\n      <th>Timeslice (month)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Biomass 1</td>\n      <td>0.3500</td>\n      <td>M1</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Biomass 1</td>\n      <td>0.3433</td>\n      <td>M10</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Biomass 1</td>\n      <td>0.3733</td>\n      <td>M11</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Biomass 1</td>\n      <td>0.3533</td>\n      <td>M12</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Biomass 1</td>\n      <td>0.3700</td>\n      <td>M2</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load data\n",
    "escalators = pd.read_csv(\n",
    "    filepath_or_buffer=os.path.join(power_system_files, \"Escalators.csv\"),\n",
    "    header=0,\n",
    ")\n",
    "escalators.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Fuels"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The dataset includes emission rates of carbon dioxide (CO2), nitrogen oxides (NOx), and sulfur oxides (SOx), for each fuel type. One single value of these gas emissions per fuel type is used across the three regions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "    Unnamed: 0  Fue price ($/MMBTU)  \\\n0         Coal                  1.8   \n1  Natural gas                  5.4   \n2          Oil                 21.0   \n3      Biomass                  2.4   \n4   Geothermal                  0.0   \n\n   CO2 Emissions productiion rate (lb/MMBTU)  \\\n0                                      203.5   \n1                                      118.0   \n2                                      123.1   \n3                                      130.0   \n4                                        0.0   \n\n   NOX emissions production rate (lb/MMBTU)  \\\n0                                  0.382413   \n1                                  0.079000   \n2                                  0.176000   \n3                                  0.176636   \n4                                  0.176636   \n\n   SO2 emissions production rate  (lb/MMBTU)  \n0                                    0.33030  \n1                                    0.00060  \n2                                    0.00579  \n3                                    0.00579  \n4                                    0.00579  ",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Unnamed: 0</th>\n      <th>Fue price ($/MMBTU)</th>\n      <th>CO2 Emissions productiion rate (lb/MMBTU)</th>\n      <th>NOX emissions production rate (lb/MMBTU)</th>\n      <th>SO2 emissions production rate  (lb/MMBTU)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Coal</td>\n      <td>1.8</td>\n      <td>203.5</td>\n      <td>0.382413</td>\n      <td>0.33030</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Natural gas</td>\n      <td>5.4</td>\n      <td>118.0</td>\n      <td>0.079000</td>\n      <td>0.00060</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Oil</td>\n      <td>21.0</td>\n      <td>123.1</td>\n      <td>0.176000</td>\n      <td>0.00579</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Biomass</td>\n      <td>2.4</td>\n      <td>130.0</td>\n      <td>0.176636</td>\n      <td>0.00579</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Geothermal</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.176636</td>\n      <td>0.00579</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load data\n",
    "fuels = pd.read_csv(\n",
    "    filepath_or_buffer=os.path.join(power_system_files, \"Fuels and emission rates.csv\"),\n",
    "    header=0,\n",
    ")\n",
    "fuels.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Types of solar and wind plants"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here is the description of types of wind and solar plants which have been chosen so as to be in close geographic proximity to the load zones where they are connected, ensuring that the meteorological conditions which impact load, wind, and solar are consistent.\n",
    "\n",
    "The aggregated wind and solar profiles are comprised of a number of individual wind or solar plants, each of which has an independent time series of power output whose correlation is dependent on the geographic distance between the plants."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "  Name IEEE 118 Zone    Generator Type\n0       Solar 3   R2            DG-BTM\n1       Solar 3   R2            DG-BTM\n2       Solar 3   R2            DG-BTM\n3      Solar 73   R2  SolarPV-Tracking\n4      Solar 74   R2  SolarPV-Tracking\n5      Solar 75   R2  SolarPV-Tracking\n6        Wind 1   R1        WT-Onshore\n7        Wind 2   R1        WT-Onshore\n8      Solar 63   R1  SolarPV-Tracking\n9      Solar 64   R1  SolarPV-Tracking",
      "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>Name IEEE 118</th>\n      <th>Zone</th>\n      <th>Generator Type</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Solar 3</td>\n      <td>R2</td>\n      <td>DG-BTM</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Solar 3</td>\n      <td>R2</td>\n      <td>DG-BTM</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Solar 3</td>\n      <td>R2</td>\n      <td>DG-BTM</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Solar 73</td>\n      <td>R2</td>\n      <td>SolarPV-Tracking</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Solar 74</td>\n      <td>R2</td>\n      <td>SolarPV-Tracking</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Solar 75</td>\n      <td>R2</td>\n      <td>SolarPV-Tracking</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>Wind 1</td>\n      <td>R1</td>\n      <td>WT-Onshore</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>Wind 2</td>\n      <td>R1</td>\n      <td>WT-Onshore</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>Solar 63</td>\n      <td>R1</td>\n      <td>SolarPV-Tracking</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>Solar 64</td>\n      <td>R1</td>\n      <td>SolarPV-Tracking</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load data\n",
    "location = pd.read_csv(\n",
    "    filepath_or_buffer=os.path.join(\n",
    "        power_system_files, \"Geographical Location Nodes RE IEEE 118.csv\"\n",
    "    ),\n",
    "    header=0,\n",
    ")\n",
    "location.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "SolarPV-NonTracking    58\nWT-Onshore             17\nSolarPV-Tracking       13\nDG-BTM                 11\nSolarThermal-CSP6       1\nName: Generator Type, dtype: int64"
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Distribution of generator types by location\n",
    "location[\"Generator Type\"].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Description:\n",
    "- SolarPV-NonTracking --- solar panel that does not have a tracking system to follow the sun and change its position for maximize the power output.\n",
    "- SolarPV-Tracking --- solar panel with tracking system.\n",
    "- SolarThermal-CSP6 --- concentrating solar-thermal power, [here](https://www.energy.gov/eere/solar/concentrating-solar-thermal-power-basics) is the description.\n",
    "- WT-Onshore --- onshore wind turbine located on land driven by the natural movement of the air.\n",
    "- DG-BTM --- distributed generation located on the customer side of the meter (behind the meter).\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Time-Series Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "pycharm": {
     "name": "#%%# Path to the folder with power system data\n"
    }
   },
   "outputs": [],
   "source": [
    "time_series_files = os.path.join(path_data, \"Input files\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "def show_ts_data_plot(data: pd.DataFrame, plot_name: str) -> plt:\n",
    "    \"\"\"Build plot for time-series data.\n",
    "\n",
    "    Args:\n",
    "        data: dataframe with datetime and value columns\n",
    "        plot_name: name of plot.\n",
    "\n",
    "    Returns:\n",
    "        Matplotlib plot.\n",
    "    \"\"\"\n",
    "    fig, ax = plt.subplots(figsize=(15, 8))\n",
    "    sns.lineplot(data=data, x=\"datetime\", y=\"value\", ax=ax)\n",
    "    ax.set_ylabel(\"Value\")\n",
    "    ax.set_xlabel(\"Date\")\n",
    "    ax.set_title(plot_name)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Day-ahead and real-time forecasts"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The dataset contains one year of time-synchronous hourly actuals (i.e. real time, RT) of wind power, solar power, and load. Also, one year of time-synchronous hourly day-ahead (DA) forecasts of wind power, solar power, and load are also provided.\n",
    "\n",
    "Load data are synthetic load data obtained from neural net regressions with 1980-2012 input weather and load data. Wind data are provided [by the Wind Toolkit](https://www.nrel.gov/electricity/transmission/wind_toolkit.html), while solar data is provided [by the National Solar Radiation Data Base (NSRDB)](https://nsrdb.nrel.gov/data-viewer)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# The structure of files is the same of RT and DA forecast\n",
    "# So, let's show only RT data\n",
    "rt_ts_path = os.path.join(time_series_files, \"RT\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Load"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['.DS_Store', 'LoadR1RT.csv', 'LoadR2RT.csv', 'LoadR3RT.csv']\n"
     ]
    }
   ],
   "source": [
    "load_rt_ts_path = os.path.join(rt_ts_path, \"Load\")\n",
    "load_rt_ts_files = os.listdir(load_rt_ts_path)\n",
    "print(load_rt_ts_files)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "       DATETIME        value\n0   1/1/24 1:00  1904.444801\n1   1/1/24 2:00  1726.221344\n2   1/1/24 3:00  1694.141121\n3   1/1/24 4:00  1679.883245\n4   1/1/24 5:00  1726.221344\n5   1/1/24 6:00  1817.709385\n6   1/1/24 7:00  1936.525024\n7   1/1/24 8:00  2032.765691\n8   1/1/24 9:00  2164.651049\n9  1/1/24 10:00  2241.881214",
      "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>DATETIME</th>\n      <th>value</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1/1/24 1:00</td>\n      <td>1904.444801</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1/1/24 2:00</td>\n      <td>1726.221344</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>1/1/24 3:00</td>\n      <td>1694.141121</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>1/1/24 4:00</td>\n      <td>1679.883245</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>1/1/24 5:00</td>\n      <td>1726.221344</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>1/1/24 6:00</td>\n      <td>1817.709385</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>1/1/24 7:00</td>\n      <td>1936.525024</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>1/1/24 8:00</td>\n      <td>2032.765691</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>1/1/24 9:00</td>\n      <td>2164.651049</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>1/1/24 10:00</td>\n      <td>2241.881214</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "load_R2_rt_ts = pd.read_csv(\n",
    "    filepath_or_buffer=os.path.join(load_rt_ts_path, \"LoadR2RT.csv\"), header=0\n",
    ")\n",
    "load_R2_rt_ts.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1500x800 with 1 Axes>",
      "image/png": "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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Show change of load\n",
    "load_R2_rt_ts.columns = [col.lower() for col in load_R2_rt_ts.columns]\n",
    "load_R2_rt_ts[\"datetime\"] = pd.to_datetime(load_R2_rt_ts[\"datetime\"])\n",
    "load_R2_rt_ts_per_day = load_R2_rt_ts.resample(\"D\", on=\"datetime\").mean()\n",
    "show_ts_data_plot(load_R2_rt_ts_per_day, \"Day average of Load R2\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Solar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['.DS_Store', 'Solar10RT.csv', 'Solar11RT.csv', 'Solar12RT.csv', 'Solar13RT.csv', 'Solar14RT.csv', 'Solar15RT.csv', 'Solar16RT.csv', 'Solar17RT.csv', 'Solar18RT.csv', 'Solar19RT.csv', 'Solar1RT.csv', 'Solar20RT.csv', 'Solar21RT.csv', 'Solar22RT.csv', 'Solar23RT.csv', 'Solar24RT.csv', 'Solar25RT.csv', 'Solar26RT.csv', 'Solar27RT.csv', 'Solar28RT.csv', 'Solar29RT.csv', 'Solar2RT.csv', 'Solar30RT.csv', 'Solar31RT.csv', 'Solar32RT.csv', 'Solar33RT.csv', 'Solar34RT.csv', 'Solar35RT.csv', 'Solar36RT.csv', 'Solar37RT.csv', 'Solar38RT.csv', 'Solar39RT.csv', 'Solar3RT.csv', 'Solar40RT.csv', 'Solar41RT.csv', 'Solar42RT.csv', 'Solar43RT.csv', 'Solar44RT.csv', 'Solar45RT.csv', 'Solar46RT.csv', 'Solar47RT.csv', 'Solar48RT.csv', 'Solar49RT.csv', 'Solar4RT.csv', 'Solar50RT.csv', 'Solar51RT.csv', 'Solar52RT.csv', 'Solar53RT.csv', 'Solar54RT.csv', 'Solar55RT.csv', 'Solar56RT.csv', 'Solar57RT.csv', 'Solar58RT.csv', 'Solar59RT.csv', 'Solar5RT.csv', 'Solar60RT.csv', 'Solar61RT.csv', 'Solar62RT.csv', 'Solar63RT.csv', 'Solar64RT.csv', 'Solar65RT.csv', 'Solar66RT.csv', 'Solar67RT.csv', 'Solar68RT.csv', 'Solar69RT.csv', 'Solar6RT.csv', 'Solar70RT.csv', 'Solar71RT.csv', 'Solar72RT.csv', 'Solar73RT.csv', 'Solar74RT.csv', 'Solar75RT.csv', 'Solar7RT.csv', 'Solar8RT.csv', 'Solar9RT.csv']\n"
     ]
    }
   ],
   "source": [
    "solar_rt_ts_path = os.path.join(rt_ts_path, \"Solar\")\n",
    "solar_rt_ts_files = os.listdir(solar_rt_ts_path)\n",
    "print(solar_rt_ts_files)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "       DATETIME     value\n0   1/1/24 1:00  0.000000\n1   1/1/24 2:00  0.000000\n2   1/1/24 3:00  0.000000\n3   1/1/24 4:00  0.000000\n4   1/1/24 5:00  0.000000\n5   1/1/24 6:00  0.000000\n6   1/1/24 7:00  0.000000\n7   1/1/24 8:00  0.000000\n8   1/1/24 9:00  0.416689\n9  1/1/24 10:00  1.368420",
      "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>DATETIME</th>\n      <th>value</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1/1/24 1:00</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1/1/24 2:00</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>1/1/24 3:00</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>1/1/24 4:00</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>1/1/24 5:00</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>1/1/24 6:00</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>1/1/24 7:00</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>1/1/24 8:00</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>1/1/24 9:00</td>\n      <td>0.416689</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>1/1/24 10:00</td>\n      <td>1.368420</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "solar_10_rt_ts = pd.read_csv(\n",
    "    filepath_or_buffer=os.path.join(solar_rt_ts_path, \"Solar10RT.csv\"), header=0\n",
    ")\n",
    "solar_10_rt_ts.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1500x800 with 1 Axes>",
      "image/png": "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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Show change of output\n",
    "solar_10_rt_ts.columns = [col.lower() for col in solar_10_rt_ts.columns]\n",
    "solar_10_rt_ts[\"datetime\"] = pd.to_datetime(solar_10_rt_ts[\"datetime\"])\n",
    "solar_10_rt_ts_per_day = solar_10_rt_ts.resample(\"D\", on=\"datetime\").mean()\n",
    "show_ts_data_plot(solar_10_rt_ts_per_day, \"Day average of Solar 10 output\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Wind"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['.DS_Store', 'Wind10RT.csv', 'Wind11RT.csv', 'Wind12RT.csv', 'Wind13RT.csv', 'Wind14RT.csv', 'Wind15RT.csv', 'Wind16RT.csv', 'Wind17RT.csv', 'Wind1RT.csv', 'Wind2RT.csv', 'Wind3RT.csv', 'Wind4RT.csv', 'Wind5RT.csv', 'Wind6RT.csv', 'Wind7RT.csv', 'Wind8RT.csv', 'Wind9RT.csv']\n"
     ]
    }
   ],
   "source": [
    "wind_rt_ts_path = os.path.join(rt_ts_path, \"Wind\")\n",
    "wind_rt_ts_files = os.listdir(wind_rt_ts_path)\n",
    "print(wind_rt_ts_files)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "      DATETIME     value\n0  1/1/24 0:00  1.942837\n1  1/1/24 1:00  4.622050\n2  1/1/24 2:00  6.191502\n3  1/1/24 3:00  9.045088\n4  1/1/24 4:00  9.334108\n5  1/1/24 5:00  9.357822\n6  1/1/24 6:00  9.357843\n7  1/1/24 7:00  9.357843\n8  1/1/24 8:00  9.357817\n9  1/1/24 9:00  9.356313",
      "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>DATETIME</th>\n      <th>value</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1/1/24 0:00</td>\n      <td>1.942837</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1/1/24 1:00</td>\n      <td>4.622050</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>1/1/24 2:00</td>\n      <td>6.191502</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>1/1/24 3:00</td>\n      <td>9.045088</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>1/1/24 4:00</td>\n      <td>9.334108</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>1/1/24 5:00</td>\n      <td>9.357822</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>1/1/24 6:00</td>\n      <td>9.357843</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>1/1/24 7:00</td>\n      <td>9.357843</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>1/1/24 8:00</td>\n      <td>9.357817</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>1/1/24 9:00</td>\n      <td>9.356313</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wind_7_rt_ts = pd.read_csv(\n",
    "    filepath_or_buffer=os.path.join(wind_rt_ts_path, \"Wind7RT.csv\"), header=0\n",
    ")\n",
    "wind_7_rt_ts.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1500x800 with 1 Axes>",
      "image/png": "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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Show change of output\n",
    "wind_7_rt_ts.columns = [col.lower() for col in wind_7_rt_ts.columns]\n",
    "wind_7_rt_ts[\"datetime\"] = pd.to_datetime(wind_7_rt_ts[\"datetime\"])\n",
    "wind_7_rt_ts_per_day = wind_7_rt_ts.resample(\"D\", on=\"datetime\").mean()\n",
    "show_ts_data_plot(wind_7_rt_ts_per_day, \"Day average of Wind 7 output\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Hydro power plants"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here is the output of 24 non-dispatchable hydro plants on an hourly basis. Other 4 non-dispatchable units (Hydro 36-39) have a fixed load defined per month ([presented earlier](#Hydro-generators)), and the dispatch level of 15 hydro units (Hydro 1-15) is estimated according to the optimal system operation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Hydro 16.csv', 'Hydro 17.csv', 'Hydro 18.csv', 'Hydro 19.csv', 'Hydro 20.csv', 'Hydro 21.csv', 'Hydro 22.csv', 'Hydro 23.csv', 'Hydro 24.csv', 'Hydro 25.csv', 'Hydro 26.csv', 'Hydro 27.csv', 'Hydro 28.csv', 'Hydro 29.csv', 'Hydro 30.csv', 'Hydro 31.csv', 'Hydro 32.csv', 'Hydro 33.csv', 'Hydro 34.csv', 'Hydro 35.csv', 'Hydro 40.csv', 'Hydro 41.csv', 'Hydro 42.csv', 'Hydro 43.csv']\n"
     ]
    }
   ],
   "source": [
    "hydro_ts_path = os.path.join(time_series_files, \"Hydro\")\n",
    "hydro_ts_files = os.listdir(hydro_ts_path)\n",
    "print(hydro_ts_files)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "       DATETIME     Value\n0   1/1/24 1:00  13.73772\n1   1/1/24 2:00   7.60737\n2   1/1/24 3:00   7.45680\n3   1/1/24 4:00   7.42095\n4   1/1/24 5:00   7.44246\n5   1/1/24 6:00   7.36359\n6   1/1/24 7:00   8.46777\n7   1/1/24 8:00  29.32530\n8   1/1/24 9:00   1.07550\n9  1/1/24 10:00   0.00000",
      "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>DATETIME</th>\n      <th>Value</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1/1/24 1:00</td>\n      <td>13.73772</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1/1/24 2:00</td>\n      <td>7.60737</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>1/1/24 3:00</td>\n      <td>7.45680</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>1/1/24 4:00</td>\n      <td>7.42095</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>1/1/24 5:00</td>\n      <td>7.44246</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>1/1/24 6:00</td>\n      <td>7.36359</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>1/1/24 7:00</td>\n      <td>8.46777</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>1/1/24 8:00</td>\n      <td>29.32530</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>1/1/24 9:00</td>\n      <td>1.07550</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>1/1/24 10:00</td>\n      <td>0.00000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hydro_21_ts = pd.read_csv(\n",
    "    filepath_or_buffer=os.path.join(hydro_ts_path, \"Hydro 21.csv\"), header=0\n",
    ")\n",
    "hydro_21_ts.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1500x800 with 1 Axes>",
      "image/png": "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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Show change of output\n",
    "hydro_21_ts.columns = [col.lower() for col in hydro_21_ts.columns]\n",
    "hydro_21_ts[\"datetime\"] = pd.to_datetime(hydro_21_ts[\"datetime\"])\n",
    "hydro_21_ts_per_day = hydro_21_ts.resample(\"D\", on=\"datetime\").mean()\n",
    "show_ts_data_plot(hydro_21_ts_per_day, \"Day average of Hydro 21 output\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Fuel prices"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here is the information about fuel costs per month per region."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "   Datetime  Coal R1  Oil Distillate R1  Oil Distillate R2  Biomass R1  \\\n0     1-Jan      1.8                 21                 21         2.4   \n1     1-Feb      1.8                 21                 21         2.4   \n2     1-Mar      1.8                 21                 21         2.4   \n3     1-Apr      1.8                 21                 21         2.4   \n4     1-May      1.8                 21                 21         2.4   \n5     1-Jun      1.8                 21                 21         2.4   \n6     1-Jul      1.8                 21                 21         2.4   \n7     1-Aug      1.8                 21                 21         2.4   \n8     1-Sep      1.8                 21                 21         2.4   \n9     1-Oct      1.8                 21                 21         2.4   \n10    1-Nov      1.8                 21                 21         2.4   \n11    1-Dec      1.8                 21                 21         2.4   \n\n    Biomass R2  Biomass R3  Natural Gas R1  Natural Gas R2  Natural Gas R3  \\\n0          2.4         2.4             5.4             5.4             5.4   \n1          2.4         2.4             5.4             5.4             5.4   \n2          2.4         2.4             5.4             5.4             5.4   \n3          2.4         2.4             5.4             5.4             5.4   \n4          2.4         2.4             5.4             5.4             5.4   \n5          2.4         2.4             5.4             5.4             5.4   \n6          2.4         2.4             5.4             5.4             5.4   \n7          2.4         2.4             5.4             5.4             5.4   \n8          2.4         2.4             5.4             5.4             5.4   \n9          2.4         2.4             5.4             5.4             5.4   \n10         2.4         2.4             5.4             5.4             5.4   \n11         2.4         2.4             5.4             5.4             5.4   \n\n    Geo R1  \n0        0  \n1        0  \n2        0  \n3        0  \n4        0  \n5        0  \n6        0  \n7        0  \n8        0  \n9        0  \n10       0  \n11       0  ",
      "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>Datetime</th>\n      <th>Coal R1</th>\n      <th>Oil Distillate R1</th>\n      <th>Oil Distillate R2</th>\n      <th>Biomass R1</th>\n      <th>Biomass R2</th>\n      <th>Biomass R3</th>\n      <th>Natural Gas R1</th>\n      <th>Natural Gas R2</th>\n      <th>Natural Gas R3</th>\n      <th>Geo R1</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1-Jan</td>\n      <td>1.8</td>\n      <td>21</td>\n      <td>21</td>\n      <td>2.4</td>\n      <td>2.4</td>\n      <td>2.4</td>\n      <td>5.4</td>\n      <td>5.4</td>\n      <td>5.4</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1-Feb</td>\n      <td>1.8</td>\n      <td>21</td>\n      <td>21</td>\n      <td>2.4</td>\n      <td>2.4</td>\n      <td>2.4</td>\n      <td>5.4</td>\n      <td>5.4</td>\n      <td>5.4</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>1-Mar</td>\n      <td>1.8</td>\n      <td>21</td>\n      <td>21</td>\n      <td>2.4</td>\n      <td>2.4</td>\n      <td>2.4</td>\n      <td>5.4</td>\n      <td>5.4</td>\n      <td>5.4</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>1-Apr</td>\n      <td>1.8</td>\n      <td>21</td>\n      <td>21</td>\n      <td>2.4</td>\n      <td>2.4</td>\n      <td>2.4</td>\n      <td>5.4</td>\n      <td>5.4</td>\n      <td>5.4</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>1-May</td>\n      <td>1.8</td>\n      <td>21</td>\n      <td>21</td>\n      <td>2.4</td>\n      <td>2.4</td>\n      <td>2.4</td>\n      <td>5.4</td>\n      <td>5.4</td>\n      <td>5.4</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>1-Jun</td>\n      <td>1.8</td>\n      <td>21</td>\n      <td>21</td>\n      <td>2.4</td>\n      <td>2.4</td>\n      <td>2.4</td>\n      <td>5.4</td>\n      <td>5.4</td>\n      <td>5.4</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>1-Jul</td>\n      <td>1.8</td>\n      <td>21</td>\n      <td>21</td>\n      <td>2.4</td>\n      <td>2.4</td>\n      <td>2.4</td>\n      <td>5.4</td>\n      <td>5.4</td>\n      <td>5.4</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>1-Aug</td>\n      <td>1.8</td>\n      <td>21</td>\n      <td>21</td>\n      <td>2.4</td>\n      <td>2.4</td>\n      <td>2.4</td>\n      <td>5.4</td>\n      <td>5.4</td>\n      <td>5.4</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>1-Sep</td>\n      <td>1.8</td>\n      <td>21</td>\n      <td>21</td>\n      <td>2.4</td>\n      <td>2.4</td>\n      <td>2.4</td>\n      <td>5.4</td>\n      <td>5.4</td>\n      <td>5.4</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>1-Oct</td>\n      <td>1.8</td>\n      <td>21</td>\n      <td>21</td>\n      <td>2.4</td>\n      <td>2.4</td>\n      <td>2.4</td>\n      <td>5.4</td>\n      <td>5.4</td>\n      <td>5.4</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>1-Nov</td>\n      <td>1.8</td>\n      <td>21</td>\n      <td>21</td>\n      <td>2.4</td>\n      <td>2.4</td>\n      <td>2.4</td>\n      <td>5.4</td>\n      <td>5.4</td>\n      <td>5.4</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>1-Dec</td>\n      <td>1.8</td>\n      <td>21</td>\n      <td>21</td>\n      <td>2.4</td>\n      <td>2.4</td>\n      <td>2.4</td>\n      <td>5.4</td>\n      <td>5.4</td>\n      <td>5.4</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fuel_prices_path = os.path.join(time_series_files, \"Others\", \"Fuel prices 2024.csv\")\n",
    "fuel_prices = pd.read_csv(filepath_or_buffer=fuel_prices_path, header=0)\n",
    "fuel_prices.head(12)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Generator outages"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The file shows the month, day and hour at which such unit was out of operation with either a forced Outage or maintenance. Value of 1 = `True` (i.e. out of service) for that hour."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "pycharm": {
     "name": "#%%fuel_prices_path = os.path.join(time_series_files, \"Others\", \"Fuel prices 2024.csv\")\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": "         Name  Year  Month  Day  Period  Value\n0  Biomass 01  2023     12   31      24      0\n1  Biomass 01  2024      1   14      15      1\n2  Biomass 01  2024      1   16       5      0\n3  Biomass 01  2024      2    1      17      1\n4  Biomass 01  2024      2    3       7      0",
      "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>Name</th>\n      <th>Year</th>\n      <th>Month</th>\n      <th>Day</th>\n      <th>Period</th>\n      <th>Value</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Biomass 01</td>\n      <td>2023</td>\n      <td>12</td>\n      <td>31</td>\n      <td>24</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Biomass 01</td>\n      <td>2024</td>\n      <td>1</td>\n      <td>14</td>\n      <td>15</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Biomass 01</td>\n      <td>2024</td>\n      <td>1</td>\n      <td>16</td>\n      <td>5</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Biomass 01</td>\n      <td>2024</td>\n      <td>2</td>\n      <td>1</td>\n      <td>17</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Biomass 01</td>\n      <td>2024</td>\n      <td>2</td>\n      <td>3</td>\n      <td>7</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gen_outputs_path = os.path.join(time_series_files, \"Others\", \"GenOut.csv\")\n",
    "gen_outputs = pd.read_csv(filepath_or_buffer=gen_outputs_path, header=0)\n",
    "gen_outputs.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plexos Models"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The dataset also contains [Plexos model as a plexos file](../data/raw/nrel118/mti-118-mt-da-rt-reserves-all-generators.xml) and [Plexos model as a .xls file](../data/raw/nrel118/plexos-export.xls). These files were included with the intention that users of this test-bed can run the model, compare results and verify that they have set their system appropriately.\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.10.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}