examples/generator_bidding_data.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ccf8555d-80ea-4591-8ae5-e40e0fc01563",
   "metadata": {},
   "source": [
    "# Visualise a generators bidding behavour\n",
    "\n",
    "In order to get data for a specific unit we need to know it's DUID, which acts as its name inside AEMO's Market Managment \n",
    "System database (MMS). In this example we will look at Daydream solar farm.\n",
    "\n",
    "The mapping of station names to DUIDs is published by AEMO in the NEM Registration and Exemption List MS Excel file. \n",
    "Note that when this file is updated by AEMO they remove retired generators. The NEMOSIS table that contains the mapping\n",
    "from this file is called 'Generators and Scheduled Loads' its NEMOSIS wiki entry can be \n",
    "found [here](https://github.com/UNSW-CEEM/NEMOSIS/wiki/AEMO-Tables#generators-and-scheduled-loads-generators-and-scheduled-loads).\n",
    "\n",
    "The bidding data, as used in dispatch, is published by AEMO in two MMS tables called BIDPEROFFER_D (volume bids) and \n",
    "BIDDAYOFFER_D, their NEMOSIS wiki entries can be found \n",
    "[here](https://github.com/UNSW-CEEM/NEMOSIS/wiki/AEMO-Tables#capacity-bids-bidperoffer_d) and \n",
    "[here](https://github.com/UNSW-CEEM/NEMOSIS/wiki/AEMO-Tables#price-bids-biddayoffer_d).\n",
    "\n",
    "Before you get started:\n",
    "* getting plotly (the graphing package I've used) working in a jupyter notebook takes a little bit of extra work but the process is well documented here: https://plotly.com/python/getting-started/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "76935a32-70cd-4c19-b103-ece3b7b38560",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from datetime import timedelta\n",
    "from nemosis import static_table, dynamic_data_compiler\n",
    "import plotly.express as px"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6781ea90-f2bc-4620-b916-902d2da97071",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Specify where we will be caching the raw AEMO data.\n",
    "raw_data_cache = 'C:/Users/N.Gorman/Desktop/cache'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ab2e375d-9492-466a-a147-4940aade56a7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Retrieving static table Generators and Scheduled Loads.\n"
     ]
    },
    {
     "data": {
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       "    }\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>Participant</th>\n",
       "      <th>Station Name</th>\n",
       "      <th>Region</th>\n",
       "      <th>Dispatch Type</th>\n",
       "      <th>Category</th>\n",
       "      <th>Classification</th>\n",
       "      <th>Fuel Source - Primary</th>\n",
       "      <th>Fuel Source - Descriptor</th>\n",
       "      <th>Technology Type - Primary</th>\n",
       "      <th>Technology Type - Descriptor</th>\n",
       "      <th>Aggregation</th>\n",
       "      <th>DUID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AETV Pty Ltd</td>\n",
       "      <td>Bairnsdale Power Station</td>\n",
       "      <td>VIC1</td>\n",
       "      <td>Generator</td>\n",
       "      <td>Market</td>\n",
       "      <td>Scheduled</td>\n",
       "      <td>Fossil</td>\n",
       "      <td>Natural Gas</td>\n",
       "      <td>Combustion</td>\n",
       "      <td>Open Cycle Gas turbines (OCGT)</td>\n",
       "      <td>Y</td>\n",
       "      <td>BDL01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AETV Pty Ltd</td>\n",
       "      <td>Bairnsdale Power Station</td>\n",
       "      <td>VIC1</td>\n",
       "      <td>Generator</td>\n",
       "      <td>Market</td>\n",
       "      <td>Scheduled</td>\n",
       "      <td>Fossil</td>\n",
       "      <td>Natural Gas</td>\n",
       "      <td>Combustion</td>\n",
       "      <td>Open Cycle Gas turbines (OCGT)</td>\n",
       "      <td>Y</td>\n",
       "      <td>BDL02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AETV Pty Ltd</td>\n",
       "      <td>Chepstowe Wind Farm</td>\n",
       "      <td>VIC1</td>\n",
       "      <td>Generator</td>\n",
       "      <td>Market</td>\n",
       "      <td>Non-Scheduled</td>\n",
       "      <td>Wind</td>\n",
       "      <td>Wind</td>\n",
       "      <td>Renewable</td>\n",
       "      <td>Wind - Onshore</td>\n",
       "      <td>N</td>\n",
       "      <td>CHPSTWF1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AGL Hydro Partnership</td>\n",
       "      <td>Agl Kemps Creek</td>\n",
       "      <td>NSW1</td>\n",
       "      <td>Generator</td>\n",
       "      <td>Market</td>\n",
       "      <td>Non-Scheduled</td>\n",
       "      <td>Renewable/ Biomass / Waste</td>\n",
       "      <td>Landfill Methane / Landfill Gas</td>\n",
       "      <td>Combustion</td>\n",
       "      <td>Compression Reciprocating Engine</td>\n",
       "      <td>Y</td>\n",
       "      <td>AGLSITA1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AGL Hydro Partnership</td>\n",
       "      <td>Banimboola Power Station</td>\n",
       "      <td>VIC1</td>\n",
       "      <td>Generator</td>\n",
       "      <td>Market</td>\n",
       "      <td>Non-Scheduled</td>\n",
       "      <td>Hydro</td>\n",
       "      <td>Water</td>\n",
       "      <td>Renewable</td>\n",
       "      <td>Hydro - Gravity</td>\n",
       "      <td>Y</td>\n",
       "      <td>BAPS</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Participant              Station Name Region Dispatch Type  \\\n",
       "0           AETV Pty Ltd  Bairnsdale Power Station   VIC1     Generator   \n",
       "1           AETV Pty Ltd  Bairnsdale Power Station   VIC1     Generator   \n",
       "2           AETV Pty Ltd       Chepstowe Wind Farm   VIC1     Generator   \n",
       "3  AGL Hydro Partnership           Agl Kemps Creek   NSW1     Generator   \n",
       "4  AGL Hydro Partnership  Banimboola Power Station   VIC1     Generator   \n",
       "\n",
       "  Category Classification       Fuel Source - Primary  \\\n",
       "0   Market      Scheduled                      Fossil   \n",
       "1   Market      Scheduled                      Fossil   \n",
       "2   Market  Non-Scheduled                        Wind   \n",
       "3   Market  Non-Scheduled  Renewable/ Biomass / Waste   \n",
       "4   Market  Non-Scheduled                       Hydro   \n",
       "\n",
       "          Fuel Source - Descriptor Technology Type - Primary  \\\n",
       "0                      Natural Gas                Combustion   \n",
       "1                      Natural Gas                Combustion   \n",
       "2                             Wind                 Renewable   \n",
       "3  Landfill Methane / Landfill Gas                Combustion   \n",
       "4                            Water                 Renewable   \n",
       "\n",
       "       Technology Type - Descriptor Aggregation      DUID  \n",
       "0    Open Cycle Gas turbines (OCGT)           Y     BDL01  \n",
       "1    Open Cycle Gas turbines (OCGT)           Y     BDL02  \n",
       "2                    Wind - Onshore           N  CHPSTWF1  \n",
       "3  Compression Reciprocating Engine           Y  AGLSITA1  \n",
       "4                   Hydro - Gravity           Y      BAPS  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Download the latest Generators and Scheduled Loads table. The \n",
    "# update_static_file=True argument forces nemosis to download a new copy of \n",
    "# file from AEMO even if a copy already exists in the cache.\n",
    "dispatch_units = static_table(table_name='Generators and Scheduled Loads', \n",
    "                              raw_data_location=raw_data_cache,\n",
    "                              update_static_file=False)\n",
    "dispatch_units.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7cd10908-184b-4ddd-a1f0-90655243422e",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "    }\n",
       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Participant</th>\n",
       "      <th>Station Name</th>\n",
       "      <th>Region</th>\n",
       "      <th>Dispatch Type</th>\n",
       "      <th>Category</th>\n",
       "      <th>Classification</th>\n",
       "      <th>Fuel Source - Primary</th>\n",
       "      <th>Fuel Source - Descriptor</th>\n",
       "      <th>Technology Type - Primary</th>\n",
       "      <th>Technology Type - Descriptor</th>\n",
       "      <th>Aggregation</th>\n",
       "      <th>DUID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>462</th>\n",
       "      <td>Snowy Hydro Limited</td>\n",
       "      <td>Murray Power Station</td>\n",
       "      <td>VIC1</td>\n",
       "      <td>Generator</td>\n",
       "      <td>Market</td>\n",
       "      <td>Scheduled</td>\n",
       "      <td>Hydro</td>\n",
       "      <td>Water</td>\n",
       "      <td>Renewable</td>\n",
       "      <td>Hydro - Gravity</td>\n",
       "      <td>Y</td>\n",
       "      <td>MURRAY</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Participant          Station Name Region Dispatch Type Category  \\\n",
       "462  Snowy Hydro Limited  Murray Power Station   VIC1     Generator   Market   \n",
       "\n",
       "    Classification Fuel Source - Primary Fuel Source - Descriptor  \\\n",
       "462      Scheduled                 Hydro                    Water   \n",
       "\n",
       "    Technology Type - Primary Technology Type - Descriptor Aggregation    DUID  \n",
       "462                 Renewable              Hydro - Gravity           Y  MURRAY  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Use pandas filtering to find the DUID of Daydream solar farm\n",
    "dispatch_units[dispatch_units['Station Name'].str.contains('Murray')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "e311bd82-9ee4-4f2b-a93c-f66d510582b5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Compiling data for table BIDPEROFFER_D.\n",
      "Downloading data for table BIDPEROFFER_D, year 2021, month 03\n",
      "Warning: PUBLIC_DVD_BIDPEROFFER_D_202103010000 not downloaded\n",
      "Warning: Loading data from C:/Users/N.Gorman/Desktop/cache\\PUBLIC_DVD_BIDPEROFFER_D_202103010000.feather failed.\n",
      "Returning BIDPEROFFER_D.\n"
     ]
    },
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SETTLEMENTDATE</th>\n",
       "      <th>DUID</th>\n",
       "      <th>BIDTYPE</th>\n",
       "      <th>OFFERDATE</th>\n",
       "      <th>MAXAVAIL</th>\n",
       "      <th>ENABLEMENTMIN</th>\n",
       "      <th>ENABLEMENTMAX</th>\n",
       "      <th>LOWBREAKPOINT</th>\n",
       "      <th>HIGHBREAKPOINT</th>\n",
       "      <th>BANDAVAIL1</th>\n",
       "      <th>BANDAVAIL2</th>\n",
       "      <th>BANDAVAIL3</th>\n",
       "      <th>BANDAVAIL4</th>\n",
       "      <th>BANDAVAIL5</th>\n",
       "      <th>BANDAVAIL6</th>\n",
       "      <th>BANDAVAIL7</th>\n",
       "      <th>BANDAVAIL8</th>\n",
       "      <th>BANDAVAIL9</th>\n",
       "      <th>BANDAVAIL10</th>\n",
       "      <th>INTERVAL_DATETIME</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9295863</th>\n",
       "      <td>2021-02-28</td>\n",
       "      <td>MURRAY</td>\n",
       "      <td>ENERGY</td>\n",
       "      <td>2021-02-28 19:45:52</td>\n",
       "      <td>1493</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>125</td>\n",
       "      <td>155</td>\n",
       "      <td>155</td>\n",
       "      <td>310</td>\n",
       "      <td>0</td>\n",
       "      <td>750</td>\n",
       "      <td>0</td>\n",
       "      <td>1575</td>\n",
       "      <td>2021-03-01 00:05:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9296986</th>\n",
       "      <td>2021-02-28</td>\n",
       "      <td>MURRAY</td>\n",
       "      <td>ENERGY</td>\n",
       "      <td>2021-02-28 19:45:52</td>\n",
       "      <td>1493</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>125</td>\n",
       "      <td>155</td>\n",
       "      <td>155</td>\n",
       "      <td>310</td>\n",
       "      <td>0</td>\n",
       "      <td>750</td>\n",
       "      <td>0</td>\n",
       "      <td>1575</td>\n",
       "      <td>2021-03-01 00:10:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9298090</th>\n",
       "      <td>2021-02-28</td>\n",
       "      <td>MURRAY</td>\n",
       "      <td>ENERGY</td>\n",
       "      <td>2021-02-28 19:45:52</td>\n",
       "      <td>1493</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>125</td>\n",
       "      <td>155</td>\n",
       "      <td>155</td>\n",
       "      <td>310</td>\n",
       "      <td>0</td>\n",
       "      <td>750</td>\n",
       "      <td>0</td>\n",
       "      <td>1575</td>\n",
       "      <td>2021-03-01 00:15:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9299305</th>\n",
       "      <td>2021-02-28</td>\n",
       "      <td>MURRAY</td>\n",
       "      <td>ENERGY</td>\n",
       "      <td>2021-02-28 19:45:52</td>\n",
       "      <td>1493</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>125</td>\n",
       "      <td>155</td>\n",
       "      <td>155</td>\n",
       "      <td>310</td>\n",
       "      <td>0</td>\n",
       "      <td>750</td>\n",
       "      <td>0</td>\n",
       "      <td>1575</td>\n",
       "      <td>2021-03-01 00:20:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9300430</th>\n",
       "      <td>2021-02-28</td>\n",
       "      <td>MURRAY</td>\n",
       "      <td>ENERGY</td>\n",
       "      <td>2021-02-28 19:45:52</td>\n",
       "      <td>1493</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>125</td>\n",
       "      <td>155</td>\n",
       "      <td>155</td>\n",
       "      <td>310</td>\n",
       "      <td>0</td>\n",
       "      <td>750</td>\n",
       "      <td>0</td>\n",
       "      <td>1575</td>\n",
       "      <td>2021-03-01 00:25:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        SETTLEMENTDATE    DUID BIDTYPE           OFFERDATE  MAXAVAIL  \\\n",
       "9295863     2021-02-28  MURRAY  ENERGY 2021-02-28 19:45:52      1493   \n",
       "9296986     2021-02-28  MURRAY  ENERGY 2021-02-28 19:45:52      1493   \n",
       "9298090     2021-02-28  MURRAY  ENERGY 2021-02-28 19:45:52      1493   \n",
       "9299305     2021-02-28  MURRAY  ENERGY 2021-02-28 19:45:52      1493   \n",
       "9300430     2021-02-28  MURRAY  ENERGY 2021-02-28 19:45:52      1493   \n",
       "\n",
       "         ENABLEMENTMIN  ENABLEMENTMAX  LOWBREAKPOINT  HIGHBREAKPOINT  \\\n",
       "9295863            0.0            0.0            0.0             0.0   \n",
       "9296986            0.0            0.0            0.0             0.0   \n",
       "9298090            0.0            0.0            0.0             0.0   \n",
       "9299305            0.0            0.0            0.0             0.0   \n",
       "9300430            0.0            0.0            0.0             0.0   \n",
       "\n",
       "         BANDAVAIL1  BANDAVAIL2  BANDAVAIL3  BANDAVAIL4  BANDAVAIL5  \\\n",
       "9295863           0           0         125         155         155   \n",
       "9296986           0           0         125         155         155   \n",
       "9298090           0           0         125         155         155   \n",
       "9299305           0           0         125         155         155   \n",
       "9300430           0           0         125         155         155   \n",
       "\n",
       "         BANDAVAIL6  BANDAVAIL7  BANDAVAIL8  BANDAVAIL9  BANDAVAIL10  \\\n",
       "9295863         310           0         750           0         1575   \n",
       "9296986         310           0         750           0         1575   \n",
       "9298090         310           0         750           0         1575   \n",
       "9299305         310           0         750           0         1575   \n",
       "9300430         310           0         750           0         1575   \n",
       "\n",
       "          INTERVAL_DATETIME  \n",
       "9295863 2021-03-01 00:05:00  \n",
       "9296986 2021-03-01 00:10:00  \n",
       "9298090 2021-03-01 00:15:00  \n",
       "9299305 2021-03-01 00:20:00  \n",
       "9300430 2021-03-01 00:25:00  "
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the volume bids for the energy market.\n",
    "volume_bids = dynamic_data_compiler(start_time='2021/03/01 00:00:00',\n",
    "                                   end_time='2021/03/07 00:00:00',\n",
    "                                   table_name='BIDPEROFFER_D',\n",
    "                                   raw_data_location=raw_data_cache)\n",
    "volume_bids = volume_bids[(volume_bids['DUID'] == 'MURRAY') & \n",
    "                          (volume_bids['BIDTYPE'] == 'ENERGY')]\n",
    "volume_bids.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "479aa95c-9bff-46be-b20d-7f59726e6ada",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>INTERVAL_DATETIME</th>\n",
       "      <th>BIDBAND</th>\n",
       "      <th>BIDVOLUME</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021-03-01 00:05:00</td>\n",
       "      <td>BANDAVAIL1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-03-01 00:10:00</td>\n",
       "      <td>BANDAVAIL1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021-03-01 00:15:00</td>\n",
       "      <td>BANDAVAIL1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021-03-01 00:20:00</td>\n",
       "      <td>BANDAVAIL1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021-03-01 00:25:00</td>\n",
       "      <td>BANDAVAIL1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    INTERVAL_DATETIME     BIDBAND  BIDVOLUME\n",
       "0 2021-03-01 00:05:00  BANDAVAIL1          0\n",
       "1 2021-03-01 00:10:00  BANDAVAIL1          0\n",
       "2 2021-03-01 00:15:00  BANDAVAIL1          0\n",
       "3 2021-03-01 00:20:00  BANDAVAIL1          0\n",
       "4 2021-03-01 00:25:00  BANDAVAIL1          0"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Reshape the data such that each bid volume is on its own row.\n",
    "volume_bids = pd.melt(volume_bids, id_vars=['INTERVAL_DATETIME'], \n",
    "                      value_vars=['BANDAVAIL1', 'BANDAVAIL2', 'BANDAVAIL3', 'BANDAVAIL4', \n",
    "                                  'BANDAVAIL5', 'BANDAVAIL6', 'BANDAVAIL7', 'BANDAVAIL8', \n",
    "                                  'BANDAVAIL9', 'BANDAVAIL10'],\n",
    "                      var_name='BIDBAND', value_name='BIDVOLUME')\n",
    "volume_bids.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "e4af4f82-c652-46e1-bac5-31c071879bb6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Compiling data for table BIDDAYOFFER_D.\n",
      "Downloading data for table BIDDAYOFFER_D, year 2021, month 03\n",
      "Warning: PUBLIC_DVD_BIDDAYOFFER_D_202103010000 not downloaded\n",
      "Warning: Loading data from C:/Users/N.Gorman/Desktop/cache\\PUBLIC_DVD_BIDDAYOFFER_D_202103010000.feather failed.\n",
      "Returning BIDDAYOFFER_D.\n"
     ]
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SETTLEMENTDATE</th>\n",
       "      <th>DUID</th>\n",
       "      <th>BIDTYPE</th>\n",
       "      <th>OFFERDATE</th>\n",
       "      <th>VERSIONNO</th>\n",
       "      <th>PRICEBAND1</th>\n",
       "      <th>PRICEBAND2</th>\n",
       "      <th>PRICEBAND3</th>\n",
       "      <th>PRICEBAND4</th>\n",
       "      <th>PRICEBAND5</th>\n",
       "      <th>PRICEBAND6</th>\n",
       "      <th>PRICEBAND7</th>\n",
       "      <th>PRICEBAND8</th>\n",
       "      <th>PRICEBAND9</th>\n",
       "      <th>PRICEBAND10</th>\n",
       "      <th>MINIMUMLOAD</th>\n",
       "      <th>T1</th>\n",
       "      <th>T2</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3982</th>\n",
       "      <td>2021-02-28</td>\n",
       "      <td>MURRAY</td>\n",
       "      <td>LOWER6SEC</td>\n",
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       "      <td>4.50</td>\n",
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       "      <td>15.00</td>\n",
       "      <td>30.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>250.00</td>\n",
       "      <td>2500.00</td>\n",
       "      <td>4800.00</td>\n",
       "      <td>14000.0</td>\n",
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       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>3983</th>\n",
       "      <td>2021-02-28</td>\n",
       "      <td>MURRAY</td>\n",
       "      <td>RAISE6SEC</td>\n",
       "      <td>2021-02-14 20:10:42</td>\n",
       "      <td>1</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4.50</td>\n",
       "      <td>6.00</td>\n",
       "      <td>15.00</td>\n",
       "      <td>30.00</td>\n",
       "      <td>100.00</td>\n",
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       "      <td>2500.00</td>\n",
       "      <td>4800.00</td>\n",
       "      <td>14000.0</td>\n",
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       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>3984</th>\n",
       "      <td>2021-02-28</td>\n",
       "      <td>MURRAY</td>\n",
       "      <td>RAISEREG</td>\n",
       "      <td>2021-02-14 20:10:42</td>\n",
       "      <td>1</td>\n",
       "      <td>0.01</td>\n",
       "      <td>10.98</td>\n",
       "      <td>13.99</td>\n",
       "      <td>19.99</td>\n",
       "      <td>33.99</td>\n",
       "      <td>99.99</td>\n",
       "      <td>269.98</td>\n",
       "      <td>450.99</td>\n",
       "      <td>1259.80</td>\n",
       "      <td>14698.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11981</th>\n",
       "      <td>2021-02-28</td>\n",
       "      <td>MURRAY</td>\n",
       "      <td>ENERGY</td>\n",
       "      <td>2021-02-27 13:40:30</td>\n",
       "      <td>29</td>\n",
       "      <td>-967.40</td>\n",
       "      <td>0.00</td>\n",
       "      <td>8.89</td>\n",
       "      <td>19.35</td>\n",
       "      <td>29.02</td>\n",
       "      <td>53.21</td>\n",
       "      <td>145.11</td>\n",
       "      <td>289.74</td>\n",
       "      <td>435.15</td>\n",
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       "    <tr>\n",
       "      <th>16187</th>\n",
       "      <td>2021-02-28</td>\n",
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       "      <td>LOWERREG</td>\n",
       "      <td>2021-02-14 20:10:42</td>\n",
       "      <td>1</td>\n",
       "      <td>0.72</td>\n",
       "      <td>3.99</td>\n",
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       "      <td>13.99</td>\n",
       "      <td>18.39</td>\n",
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       "      <td>0.0</td>\n",
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       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "      SETTLEMENTDATE    DUID    BIDTYPE           OFFERDATE  VERSIONNO  \\\n",
       "3982      2021-02-28  MURRAY  LOWER6SEC 2021-02-14 20:10:42          1   \n",
       "3983      2021-02-28  MURRAY  RAISE6SEC 2021-02-14 20:10:42          1   \n",
       "3984      2021-02-28  MURRAY   RAISEREG 2021-02-14 20:10:42          1   \n",
       "11981     2021-02-28  MURRAY     ENERGY 2021-02-27 13:40:30         29   \n",
       "16187     2021-02-28  MURRAY   LOWERREG 2021-02-14 20:10:42          1   \n",
       "\n",
       "       PRICEBAND1  PRICEBAND2  PRICEBAND3  PRICEBAND4  PRICEBAND5  PRICEBAND6  \\\n",
       "3982         0.00        4.50        6.00       15.00       30.00      100.00   \n",
       "3983         0.00        4.50        6.00       15.00       30.00      100.00   \n",
       "3984         0.01       10.98       13.99       19.99       33.99       99.99   \n",
       "11981     -967.40        0.00        8.89       19.35       29.02       53.21   \n",
       "16187        0.72        3.99        5.99        8.99       13.99       18.39   \n",
       "\n",
       "       PRICEBAND7  PRICEBAND8  PRICEBAND9  PRICEBAND10  MINIMUMLOAD   T1   T2  \\\n",
       "3982       250.00     2500.00     4800.00      14000.0          0.0  0.0  0.0   \n",
       "3983       250.00     2500.00     4800.00      14000.0          0.0  0.0  0.0   \n",
       "3984       269.98      450.99     1259.80      14698.0          0.0  0.0  0.0   \n",
       "11981      145.11      289.74      435.15      14511.0          0.0  0.0  0.0   \n",
       "16187       23.72       45.72       99.99      14698.0          0.0  0.0  0.0   \n",
       "\n",
       "        T3   T4  \n",
       "3982   0.0  0.0  \n",
       "3983   0.0  0.0  \n",
       "3984   0.0  0.0  \n",
       "11981  0.0  0.0  \n",
       "16187  0.0  0.0  "
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the price bids.\n",
    "price_bids = dynamic_data_compiler(start_time='2021/03/01 00:00:00',\n",
    "                                   end_time='2021/03/07 00:00:00',\n",
    "                                   table_name='BIDDAYOFFER_D',\n",
    "                                   raw_data_location=raw_data_cache)\n",
    "price_bids = price_bids[price_bids['DUID'] == 'MURRAY']\n",
    "price_bids.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "807757db-f577-4ba9-8cd6-af09bbe36213",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>PRICEBAND1</td>\n",
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      ],
      "text/plain": [
       "  SETTLEMENTDATE     BIDBAND  BIDPRICE\n",
       "0     2021-02-28  PRICEBAND1      0.00\n",
       "1     2021-02-28  PRICEBAND1      0.00\n",
       "2     2021-02-28  PRICEBAND1      0.01\n",
       "3     2021-02-28  PRICEBAND1   -967.40\n",
       "4     2021-02-28  PRICEBAND1      0.72"
      ]
     },
     "execution_count": 57,
     "metadata": {},
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    }
   ],
   "source": [
    "# Reshape the data such that each bid volume is on its own row.\n",
    "price_bids = pd.melt(price_bids, id_vars=['SETTLEMENTDATE'], \n",
    "                     value_vars=['PRICEBAND1', 'PRICEBAND2', 'PRICEBAND3', 'PRICEBAND4', \n",
    "                                 'PRICEBAND5', 'PRICEBAND6', 'PRICEBAND7', 'PRICEBAND8', \n",
    "                                 'PRICEBAND9', 'PRICEBAND10'],\n",
    "                     var_name='BIDBAND', value_name='BIDPRICE')\n",
    "price_bids.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "c6b887a9-7fc3-4f6e-8e15-27a7ee8f590e",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>2021-02-28</td>\n",
       "      <td>PRICEBAND1</td>\n",
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       "      <td>2021-02-28 04:05:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021-02-28</td>\n",
       "      <td>PRICEBAND1</td>\n",
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       "      <td>2021-02-28 04:05:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021-02-28</td>\n",
       "      <td>PRICEBAND1</td>\n",
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       "      <td>2021-02-28 04:05:00</td>\n",
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      ],
      "text/plain": [
       "  SETTLEMENTDATE     BIDBAND  BIDPRICE      APPLICABLEFROM\n",
       "0     2021-02-28  PRICEBAND1      0.00 2021-02-28 04:05:00\n",
       "1     2021-02-28  PRICEBAND1      0.00 2021-02-28 04:05:00\n",
       "2     2021-02-28  PRICEBAND1      0.01 2021-02-28 04:05:00\n",
       "3     2021-02-28  PRICEBAND1   -967.40 2021-02-28 04:05:00\n",
       "4     2021-02-28  PRICEBAND1      0.72 2021-02-28 04:05:00"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Price bids are submitted daily and are applicable from the beggining of the market dat. \n",
    "# The first interval of the market day is 04:05:00, so we will add an applicable from column\n",
    "# to make it easier to match volume and price bids.\n",
    "price_bids['APPLICABLEFROM'] = price_bids['SETTLEMENTDATE'] + timedelta(hours=4, minutes=5)\n",
    "price_bids.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "1fd2f6c3-9a43-4d52-8426-b59693a969e1",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  SETTLEMENTDATE  BIDBAND  BIDPRICE      APPLICABLEFROM\n",
       "0     2021-02-28        1      0.00 2021-02-28 04:05:00\n",
       "1     2021-02-28        1      0.00 2021-02-28 04:05:00\n",
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    "# To make it easier to match volume and price bids we will also convert the BIDBAND values to numeric\n",
    "price_bids['BIDBAND'] = pd.to_numeric(price_bids['BIDBAND'].str[9:])\n",
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       "    INTERVAL_DATETIME  BIDBAND  BIDVOLUME SETTLEMENTDATE  BIDPRICE  \\\n",
       "0 2021-03-01 00:05:00        1          0     2021-02-28       0.0   \n",
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    "# Now we match each volume bid with the most recent price bid.\n",
    "bids = pd.merge_asof(volume_bids.sort_values('INTERVAL_DATETIME'), \n",
    "                     price_bids.sort_values('APPLICABLEFROM'), \n",
    "                     left_on='INTERVAL_DATETIME', right_on='APPLICABLEFROM',\n",
    "                     by='BIDBAND')\n",
    "bids.head()"
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   ],
   "source": [
    "# Plot the results.\n",
    "fig = px.area(bids.sort_values('BIDBAND'), x='INTERVAL_DATETIME', \n",
    "              y='BIDVOLUME', color='BIDPRICE')\n",
    "fig.update_layout(yaxis_title=\"MW\")\n",
    "fig.show()"
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   "id": "29b534a2-7cb1-4dbc-9f11-0f896cc34e18",
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   "source": []
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