{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "<div class=\"alert alert-info\">\n",
    "- To start the presentation, click this button in the toolbar: <img src=\"./images/presentation_start_button.png\" width=\"32.5\" height=\"24.5\">  \n",
    "- You can zoom in and out on a slide with your browser's zoom function to see all content.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "pycharm": {
     "name": "#%% md\n"
    },
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Predicting the Wind: Data Science in Wind Resource Assessment\n",
    "**– Self-study version –**\n",
    "\n",
    "**[Florian Roscheck](https://www.linkedin.com/in/florianroscheck/), Data Scientist**\n",
    "\n",
    "2020-03-11, [PyData San Diego Meetup](https://www.meetup.com/PyData-San-Diego/)\n",
    "\n",
    "<br>\n",
    "Source Code:\n",
    "\n",
    "<img src=\"./images/qr_code_github.png\" style=\"width: 8em\">\n",
    "\n",
    "[github.com/flrs/predicting_the_wind](https://github.com/flrs/predicting_the_wind)\n",
    "\n",
    "**Intended audience:** Data analysts and data scientists who are interested in learning about how data science techniques are applied in the wind energy domain."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "pycharm": {
     "name": "#%% md\n"
    },
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Agenda"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "- What is wind resource assessment?\n",
    "- How to measure the wind\n",
    "- Predicting long-term wind speeds\n",
    "- Predicting wind turbine power output"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "pycharm": {
     "name": "#%% md\n"
    },
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## What is Wind Resource Assessment?\n",
    "\n",
    "<img src=\"./images/sandbox_you_are_here.jpg\" style=\"width: 35em\">"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "<img src=\"./images/sandbox_build_this_wind_farm.jpg\" style=\"width: 40em\">"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "<span style=\"font-size:250%\">🤔</span>\n",
    "\n",
    "**Sounds good, but...**\n",
    "\n",
    "- How much power is in the wind? "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "- Will you be able to sell the generated electricity at a profit?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "- A profit over the *next 25 years*?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "<span style=\"font-size:250%\">💡</span>\n",
    "\n",
    "**Wind resource assessment to the rescue!**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "- Predict long-term behavior of the wind"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "- Predict power output of wind turbines"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "- Know if you will make a profit!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Wind Resource Assessment = ❤️\n",
    "\n",
    "- Building models of the physical world is exciting\n",
    "- Uncertainty is not just a footnote\n",
    "- Modern data science is relatively new in the field\n",
    "- Reduce emissions and slow global warming!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Predicting the Wind: A Data Science Problem!\n",
    "\n",
    "- Getting wind data\n",
    "- Cleaning wind data\n",
    "- Analyzing wind data\n",
    "- Building a model of the wind\n",
    "- Predicting the wind and output of the wind farm\n",
    "\n",
    "This is a typical data science workflow!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "pycharm": {
     "name": "#%% md\n"
    },
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Getting Wind Data: Met Masts\n",
    "\n",
    "- Met masts look like this:\n",
    "<img src=\"./images/met_mast.jpg\" style=\"height: 16em\">\n",
    "- Measure the wind at different heights\n",
    "\n",
    "- Have sensors for wind speed, wind direction, temperature, humidity, and precipitation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "pycharm": {
     "name": "#%% md\n"
    },
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Analyzing Wind Data\n",
    "\n",
    "Let's load data from a met mast and check it out!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "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>spd_30</th>\n",
       "      <th>spd_45</th>\n",
       "      <th>spd_58</th>\n",
       "      <th>tmp</th>\n",
       "      <th>dir</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1999-12-31 16:00:00</th>\n",
       "      <td>3.39</td>\n",
       "      <td>3.73</td>\n",
       "      <td>3.84</td>\n",
       "      <td>12.37</td>\n",
       "      <td>243.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-12-31 16:10:00</th>\n",
       "      <td>3.27</td>\n",
       "      <td>3.65</td>\n",
       "      <td>3.81</td>\n",
       "      <td>12.22</td>\n",
       "      <td>250.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-12-31 16:20:00</th>\n",
       "      <td>3.31</td>\n",
       "      <td>3.63</td>\n",
       "      <td>3.80</td>\n",
       "      <td>12.12</td>\n",
       "      <td>252.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-12-31 16:30:00</th>\n",
       "      <td>3.78</td>\n",
       "      <td>4.26</td>\n",
       "      <td>4.38</td>\n",
       "      <td>12.04</td>\n",
       "      <td>249.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-12-31 16:40:00</th>\n",
       "      <td>3.96</td>\n",
       "      <td>4.38</td>\n",
       "      <td>4.52</td>\n",
       "      <td>11.99</td>\n",
       "      <td>254.50</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     spd_30  spd_45  spd_58    tmp     dir\n",
       "time                                                      \n",
       "1999-12-31 16:00:00    3.39    3.73    3.84  12.37  243.68\n",
       "1999-12-31 16:10:00    3.27    3.65    3.81  12.22  250.02\n",
       "1999-12-31 16:20:00    3.31    3.63    3.80  12.12  252.29\n",
       "1999-12-31 16:30:00    3.78    4.26    4.38  12.04  249.54\n",
       "1999-12-31 16:40:00    3.96    4.38    4.52  11.99  254.50"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "data = pd.read_parquet('./data/met_mast.parquet')\n",
    "\n",
    "data.round(2).head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "Our met mast data show wind speed in m/s at 30, 45, and 58 m height, temperature in °C, and wind direction in °, in 10-minute intervals.\n",
    "\n",
    "(These data are all artifical and I generated them in [this notebook](./data_acquisition/synthesizing_a_wind_speed_time_series.ipynb).)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "# Let's assume we only have 2 years of met mast data\n",
    "data = data['2018-02-01':]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Let's get a feel for the wind data by plotting them!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Plot wind speed time series\n",
    "\n",
    "import brightwind as bw\n",
    "\n",
    "anemometers = ['spd_30','spd_45', 'spd_58']\n",
    "bw.plot_timeseries(data[anemometers])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "...wow, that looks very messy!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Let's plot a single day to see more detail!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bw.plot_timeseries(data.loc['2019-03-11',anemometers])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "Observations: Wind speed varies a lot throughout the day. Higher height means higher wind speed."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Which direction does the wind come from? Let's plot a frequency rose 🌹!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bw.freq_table(data['spd_30'], data['dir'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "**Wind Data Analysis Takeaways**\n",
    "\n",
    "- Wind data = long time series\n",
    "- Wind data looks messy\n",
    "- There are domain-specific tools to structure and explore wind data (e.g. frequency roses)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "pycharm": {
     "name": "#%% md\n"
    },
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## From Measurement to Prediction: Building a Model\n",
    "\n",
    "We want to predict how much energy a wind farm will likely produce in 25 years of operation."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "- **Problem**: \n",
    " - Only 2 years of met mast wind measurements to predict 25 years of wind\n",
    " - With that little data we really don't know enough about how the wind will behave!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "- **Solution**: \n",
    "  - Get more, longer-term data from other sources, covering as much time as possible"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "- **Rationale**:\n",
    "    - The more we know about the past, the better we can predict the future."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Section Overview\n",
    "\n",
    "- How and where to get more long-term data\n",
    "- Build a simple model to predict wind speeds\n",
    "- Use a more advanced model from scikit-learn to predict wind speeds\n",
    "- Improve models with wind energy domain knowledge\n",
    "- Investigate how to score and compare wind speed models"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Getting More, Long-Term Data\n",
    "\n",
    "Popular data sources: Global climate models, measurements by third parties"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "# Draw map of long-term references\n",
    "\n",
    "# This cell is ommitted from display because folium would not play nicely with different browsers at the \n",
    "# time of writing. The output of this cell is shown in the next cell.\n",
    "\n",
    "import folium \n",
    "\n",
    "sandbox_loc = [32.896278, -117.219553]\n",
    "\n",
    "era5_locs = [[32.95000076293945, -117.30000305175781],\n",
    "             [32.70000076293945, -117.05000305175781],\n",
    "             [32.95000076293945, -117.05000305175781],\n",
    "             [32.70000076293945, -117.30000305175781]]\n",
    "\n",
    "asos_locs = [[32.8157, -117.1396],\n",
    "             [32.8645, -117.1366],\n",
    "             [32.7339, -117.1845]]\n",
    "\n",
    "m = folium.Map(location=sandbox_loc, tiles='Stamen Terrain', zoom_start = 10)\n",
    "\n",
    "folium.Marker(sandbox_loc, popup='The Sandbox').add_to(m)\n",
    "\n",
    "for loc in era5_locs:\n",
    "    folium.Marker(loc, popup='ERA5', icon=folium.Icon('orange',icon='glyphicon-globe')).add_to(m)\n",
    "\n",
    "for loc in asos_locs:\n",
    "    folium.Marker(loc, popup='ASOS', icon=folium.Icon('purple',icon='glyphicon-plane')).add_to(m)\n",
    "  \n",
    "m"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "<img src=\"./images/long_term_reference_map.png\" style=\"height: 16em\">\n",
    "\n",
    "Close to the Sandbox (blue): 4 climate model grid points (orange), 3 airport measurement stations (purple)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Let's load climate model ([ERA5](https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5)) and airport station data!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "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>spd</th>\n",
       "      <th>dir</th>\n",
       "      <th>tmp</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1999-12-31 16:00:00</th>\n",
       "      <td>4.548827</td>\n",
       "      <td>249.010856</td>\n",
       "      <td>12.370013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-12-31 17:00:00</th>\n",
       "      <td>3.981960</td>\n",
       "      <td>251.738388</td>\n",
       "      <td>11.915547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-12-31 18:00:00</th>\n",
       "      <td>2.607753</td>\n",
       "      <td>249.791620</td>\n",
       "      <td>11.245783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-12-31 19:00:00</th>\n",
       "      <td>1.559933</td>\n",
       "      <td>233.880179</td>\n",
       "      <td>9.782310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-12-31 20:00:00</th>\n",
       "      <td>1.359054</td>\n",
       "      <td>231.334928</td>\n",
       "      <td>10.454369</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          spd         dir        tmp\n",
       "time                                                \n",
       "1999-12-31 16:00:00  4.548827  249.010856  12.370013\n",
       "1999-12-31 17:00:00  3.981960  251.738388  11.915547\n",
       "1999-12-31 18:00:00  2.607753  249.791620  11.245783\n",
       "1999-12-31 19:00:00  1.559933  233.880179   9.782310\n",
       "1999-12-31 20:00:00  1.359054  231.334928  10.454369"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pathlib import Path\n",
    "import pandas as pd\n",
    "\n",
    "lt_data = {'era5_0': 'era5_0.parquet',\n",
    "           'era5_1': 'era5_1.parquet',\n",
    "           'MYF': 'MYF_200001010000_202003070000.parquet',\n",
    "            'NKX': 'NKX_200001010000_202003070000.parquet',\n",
    "            'SAN': 'SAN_200001010000_202003070000.parquet'}\n",
    "\n",
    "for name, file in lt_data.items():\n",
    "    lt_data[name] = pd.read_parquet(Path('./data/').joinpath(file))\n",
    "    \n",
    "lt_data['era5_0'].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "Climate models typically do not output wind speed at ground level and only have 1-hr resolution.\n",
    "\n",
    "([This notebook](./data_acquisition/downloading_ERA5_data_in_python.ipynb) shows how I downloaded ERA5 data and [this notebook](./data_acquisition/download_and_preprocess_asos_data.ipynb) shows how I downloaded airport station data.)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### From Short-Term to Long-Term Data \n",
    "\n",
    "Our challenges:\n",
    "- Airport measurements are taken and climate models are calculated far from our site (the Sandbox).\n",
    "- They have measurements in greater intervals than our met mast.\n",
    "\n",
    "How much can we trust them to tell us about the wind characteristics at the Sandbox?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Let's plot met mast wind speed data against the data from the ERA5 climate model!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot_data = pd.concat([data['spd_58'].resample('1W').mean(), lt_data['era5_0']['spd'].resample('1W').mean()], axis=1)\n",
    "plot_data.columns = ['Measurement', 'LT Reference']\n",
    "\n",
    "bw.plot_timeseries(plot_data, date_from='2017')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "Good news: Despite being physically far away, there seem to be great similarities between the climate model and the met mast data. (This is not always the case, but it is here to make this tutorial fun and easy.)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "**Problem**: How do we exploit the similarities between references and met mast data to get an idea of what our met mast data would have looked like if we had measured for 25 years?\n",
    "\n",
    "**Solution**: \n",
    "1. Build model describing relationship between measurement and references\n",
    "2. Let model predict what long-term measurement would look like"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "Let's build a model!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### A Simple Model: Orthogonal Least Squares\n",
    "\n",
    "Orthogonal least squares: Draw a best-fit line between all timestamp-points of reference and met mast wind speed that minimizes the orthogonal distance between line and timestamp-point"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'Num data points': 761,\n",
      " 'offset': 0.48915546304725566,\n",
      " 'r2': 0.8682745042710436,\n",
      " 'slope': 0.7728460999482368}\n"
     ]
    }
   ],
   "source": [
    "from brightwind.analyse.correlation import OrthogonalLeastSquares\n",
    "\n",
    "# Resample to daily\n",
    "data_1D = data.resample('1D').mean()\n",
    "lt_data_1D = lt_data['era5_0'].resample('1D').mean()\n",
    "\n",
    "ols_model = OrthogonalLeastSquares(ref_spd=lt_data_1D['spd'], \n",
    "                                   target_spd=data_1D['spd_58'], \n",
    "                                   averaging_prd='1D')\n",
    "ols_model.run()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "It looks like we have a good amount of data (7k+ points) and a respectable $R^2$ of 0.89. Let's plot our line of best fit!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x734.4 with 1 Axes>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ols_model.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "There is some scatter but model fits the data quite well. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "**Problem**:\n",
    "- To make sense of the model in terms of how well it can predict wind speeds, we want to use it to predict the wind speeds for the time period when we have met mast measurements and then compare these measurements to the model's predictions.\n",
    "- For this purpose, $R^2$ as error metric is inappropriate - it tells us nothing about wind speeds!\n",
    "- (Interpretation of $R^2$ is also rather tricky for orthogonal least squares regression in general)\n",
    "\n",
    "**Solution**:\n",
    "\n",
    "Use RMSE (root mean square error) of predicted wind speed vs. actual measured wind speed as error metric!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "# Define scoring metric: RMSE\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "def rmse(prediction, actual):\n",
    "    return np.sqrt(((prediction-actual)**2).mean())\n",
    "\n",
    "all_predictions = {}\n",
    "all_scores = {}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Let's score the simple orthogonal least squares model using RMSE!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE of simple model: 0.315\n",
      "RMSE as % of wind speed mean: 11%\n"
     ]
    }
   ],
   "source": [
    "prediction = (ols_model.params['slope']*lt_data_1D['spd']+ols_model.params['offset'])\n",
    "\n",
    "all_predictions['simple'] = prediction\n",
    "all_scores['simple'] = rmse(prediction, data_1D['spd_58'])\n",
    "\n",
    "print('RMSE of simple model: {:.3f}'.format(all_scores['simple']))\n",
    "print('RMSE as % of wind speed mean: {:.0f}%'.format(all_scores['simple']/data_1D['spd_58'].mean()*100))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "The RMSE is 11% of the wind speed. This is not really a good number. If we would build the project assuming 11% faster winds than we would actually have, we would have made a very expensive mistake."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "So: How can we improve the model?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "Let's learn about Physics! "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "notes"
    }
   },
   "source": [
    "- Also: How do measurements at the met mast relate to measurements at turbine heights?\n",
    "- Modeling challenges: Topography"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Topography vs. Wind\n",
    "\n",
    "<img src=\"./images/shear_over_hill_static.png\" style=\"height: 15em\">"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "- Imagine a wind gust enters picture on left as a vertical line.\n",
    "- As gust moves over a hill from left to right, it accelerates towards the top and decelerates towards the bottom (vertical line becomes diagonal).\n",
    "- Position of hills relative to our site may influence expected wind speeds."
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "rise": {
     "scroll": true
    },
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "# Plot elevation map of area around the Sandbox\n",
    "\n",
    "# This cell is ommitted from display because folium would not play nicely with different browsers at the \n",
    "# time of writing. The output of this cell is shown in the next cell.\n",
    "\n",
    "sandbox_loc = [32.896278, -117.219553]\n",
    "boundary = (-117.64131499443664,\n",
    "             32.47993859936589,\n",
    "             -116.06455693096564,\n",
    "             33.52096591638937)\n",
    "\n",
    "m = folium.Map(location=sandbox_loc, tiles='Stamen Toner', zoom_start=14, height=450)\n",
    "\n",
    "folium.Marker(sandbox_loc, popup='The Sandbox').add_to(m)\n",
    "\n",
    "m.add_child(\n",
    "    folium.raster_layers.ImageOverlay(\n",
    "        str(Path('./data/elev10grd_area_of_interest-min.png').resolve()), \n",
    "        opacity=.9, \n",
    "        bounds=[[boundary[1], boundary[0]],[boundary[3], boundary[2]]]\n",
    "    ))\n",
    "\n",
    "m"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "**Elevation Map of Area Around the Sandbox**\n",
    "\n",
    "<img src=\"./images/sandbox_elevation_map.png\" style=\"height: 20em\">\n",
    "\n",
    "We ommitted the scale, but it looks as if there are some elevation differences around the Sandbox."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "**How can we take advantage of the topographic information?**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "Let's try building models for different wind directions!\n",
    "\n",
    "Rationale: We may find that there is more similarity in wind speeds between mast and reference in some directions than in others."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### A Better Model: Binned Orthogonal Least Squares\n",
    "\n",
    "Our simple model – just binned in 12 direction sectors.\n",
    "\n",
    "Quick remark: We use [SciPy](https://www.scipy.org/) for building our model here instead of [Brightwind](https://github.com/brightwind-dev/brightwind), since I want to show you that you can even analyze wind data with more common data science tools."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "# Bin data by direction\n",
    "\n",
    "dir_bins = pd.IntervalIndex.from_breaks(np.linspace(0,360,13))\n",
    "\n",
    "data_1D = data.resample('1D').mean()\n",
    "lt_data_1D = lt_data['era5_0'].resample('1D').mean()\n",
    "\n",
    "lt_data_1D['dir_bin'] = pd.cut(lt_data_1D['dir'], dir_bins)\n",
    "data_1D['dir_bin'] = pd.cut(data_1D['dir'], dir_bins)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "rise": {
     "scroll": true
    },
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE of binned model: 0.289\n"
     ]
    }
   ],
   "source": [
    "# Build binned orthogonal least squares model\n",
    "\n",
    "from scipy.odr import ODR, Model, Data\n",
    "\n",
    "def get_data_in_dir_bin(dir_bin):\n",
    "    lt_data_in_bin = lt_data_1D['spd'][lt_data_1D['dir_bin'] == dir_bin]\n",
    "    data_in_bin = data_1D['spd_58'][data_1D['dir_bin'] == dir_bin]\n",
    "    return lt_data_in_bin, data_in_bin\n",
    "\n",
    "def model_fcn(B, x):\n",
    "    return B[0]*x+B[1]\n",
    "\n",
    "bin_stats = {}\n",
    "for bin_nx, dir_bin in enumerate(dir_bins):\n",
    "    bin_stats[bin_nx] = {'n_samples': None, 'betas': None, 'rmse': np.nan, 'predictions': None}\n",
    "    lt_data_in_bin, data_in_bin = get_data_in_dir_bin(dir_bin)\n",
    "    \n",
    "    concurrent_nxs = list(set(lt_data_in_bin.index).intersection(set(data_in_bin.index)))\n",
    "    bin_stats[bin_nx]['n_samples'] = len(concurrent_nxs)\n",
    "    \n",
    "    if not concurrent_nxs:\n",
    "        continue\n",
    "    \n",
    "    result = ODR(Data(lt_data_in_bin[concurrent_nxs].values, data_in_bin[concurrent_nxs].values), Model(model_fcn),\n",
    "                beta0=[1., 0.5]).run()\n",
    "\n",
    "    bin_stats[bin_nx]['predictions'] = model_fcn(result.beta, lt_data_in_bin)\n",
    "    bin_stats[bin_nx]['betas'] = result.beta\n",
    "    bin_stats[bin_nx]['rmse'] = rmse(bin_stats[bin_nx]['predictions'], data_in_bin)\n",
    "\n",
    "all_predictions['binned'] = pd.concat([bin_stat['predictions'] for bin_stat in bin_stats.values()\\\n",
    "                                       if bin_stat['predictions'] is not None]).sort_index()\n",
    "all_scores['binned'] = np.nanmean([bin_stat['rmse'] for bin_stat in bin_stats.values()])\n",
    "\n",
    "print('RMSE of binned model: {:.3f}'.format(all_scores['binned']))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "**Scores so far**\n",
    "\n",
    "- RMSE of simple model: 0.315\n",
    "- RMSE of binned model: 0.289\n",
    "- Our binned model performs better already!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### A More Advanced Model: RandomForestRegressor\n",
    "\n",
    "**Expectation:** Random forest regressor captures nuances in relationship between reference and measurement better than other models\n",
    "\n",
    "**Background:** A [random forest](https://medium.com/@williamkoehrsen/random-forest-simple-explanation-377895a60d2d) generates an estimate from multiple decision trees. Each tree only gets trained on a subset of samples and features. This means that each tree has some \"specialized\" knowledge about the data and can see a particular aspect of the data better than other trees. By combining the predictions of all trees, a random forest can provide a relatively robust prediction.\n",
    "\n",
    "**Approach:**\n",
    "- Engineer features that model can pick up on\n",
    "- Run the model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "**Feature Engineering**\n",
    "\n",
    "Let's come up with some (simple) features that the random forest can feed on."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "scrolled": true,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "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>spd</th>\n",
       "      <th>dir</th>\n",
       "      <th>tmp</th>\n",
       "      <th>spd_rolling_3</th>\n",
       "      <th>spd_rolling_5</th>\n",
       "      <th>d</th>\n",
       "      <th>m</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-02-01</th>\n",
       "      <td>1.455543</td>\n",
       "      <td>173.896001</td>\n",
       "      <td>15.397280</td>\n",
       "      <td>3.040377</td>\n",
       "      <td>3.040787</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-02</th>\n",
       "      <td>1.528880</td>\n",
       "      <td>168.001625</td>\n",
       "      <td>16.170596</td>\n",
       "      <td>3.040377</td>\n",
       "      <td>3.040787</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-03</th>\n",
       "      <td>2.025680</td>\n",
       "      <td>251.970139</td>\n",
       "      <td>16.567941</td>\n",
       "      <td>1.670035</td>\n",
       "      <td>3.040787</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 spd         dir        tmp  spd_rolling_3  spd_rolling_5  \\\n",
       "time                                                                        \n",
       "2018-02-01  1.455543  173.896001  15.397280       3.040377       3.040787   \n",
       "2018-02-02  1.528880  168.001625  16.170596       3.040377       3.040787   \n",
       "2018-02-03  2.025680  251.970139  16.567941       1.670035       3.040787   \n",
       "\n",
       "              d    m  \n",
       "time                  \n",
       "2018-02-01  1.0  2.0  \n",
       "2018-02-02  2.0  2.0  \n",
       "2018-02-03  3.0  2.0  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y = data_1D['spd_58']\n",
    "\n",
    "# Get concurrent time steps\n",
    "conc_index = sorted(list(set(y.index).intersection(lt_data_1D.index)))\n",
    "\n",
    "X = lt_data_1D.loc[conc_index,['spd', 'dir', 'tmp']].sort_index()\n",
    "\n",
    "# Rolling means\n",
    "def make_rolling(data, window_width):\n",
    "    rolling = data['spd'].rolling(window_width).mean()\n",
    "    rolling = rolling.fillna(rolling.mean())\n",
    "    rolling.name = 'spd_rolling_{}'.format(window_width)\n",
    "    return pd.concat([data, rolling], axis=1)\n",
    "X = make_rolling(X, 3)\n",
    "X = make_rolling(X, 5)\n",
    "\n",
    "# Date-based features to capture temporal patterns\n",
    "X.loc[conc_index,'d'] = X.index.day\n",
    "X.loc[conc_index,'m'] = X.index.month\n",
    "\n",
    "X.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Now that we have data with features, let's build 2 models: One model for which we will withhold some validation data and, for comparison with the previous models, one model that uses all data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE (RF model, training set): 0.303\n",
      "RMSE (RF model, validation set): 0.330\n",
      "RMSE (RF model, all data): 0.300\n"
     ]
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "X_train, X_val, y_train, y_val = train_test_split(X, y, test_size=0.2, random_state=42)\n",
    "rf_model = RandomForestRegressor(n_estimators=100, oob_score=True, random_state=100, min_samples_leaf=10)\n",
    "rf_model.fit(X_train, y_train)\n",
    "\n",
    "print('RMSE (RF model, training set): {:.3f}'.format(rmse(rf_model.predict(X_train), y_train)))\n",
    "print('RMSE (RF model, validation set): {:.3f}'.format(rmse(rf_model.predict(X_val), y_val)))\n",
    "\n",
    "model = RandomForestRegressor(n_estimators=100, oob_score=True, random_state=100, min_samples_leaf=10)\n",
    "model.fit(X, y)\n",
    "\n",
    "predictions = model.predict(X)\n",
    "all_predictions['forest'] = pd.Series(predictions,index=conc_index).sort_index()\n",
    "all_scores['forest'] = rmse(predictions, y)\n",
    "\n",
    "print('RMSE (RF model, all data): {:.3f}'.format(all_scores['forest']))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "The RMSE is not too high and definitely within the range of the other models. Let's compare the models in more detail."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Comparing the 3 Wind Speed Models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "\n",
    "pd.DataFrame(all_predictions).loc['2018-04':'2018-06',:].plot(figsize=(25,5))\n",
    "data_1D['spd_58'].loc['2018-04':'2018-06'].plot(c='k',lw=2, label='Target Mast')\n",
    "\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "All 3 models follow the target mast nicely. The forest model sometimes captures peaks better than other models (Jun 18, May 6), but also occasionally has bigger misses (Apr 12, May 30)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Time for a direct score comparison! Remember: The lower the RMSE, the better the model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.Series(all_scores).plot.bar();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "Despite all the fanciness of the random forest model, it does not reach the score of our binned model. This being said – an RMSE of 0.3 is still relatively high when measured in terms of wind speed."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "<div class=\"alert alert-info\">\n",
    "Below: Additional content not shown in the original presentation.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### An In-Depth Look at the Binned Model\n",
    "\n",
    "When we built the binned model, we did not spend any time inspecting it. Let's do that now. We want to understand how robust our model is. First, let's display the number of samples our model used per bin."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "scrolled": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "bin_wise_params = pd.Series([stat['n_samples'] for stat in bin_stats.values()], index=dir_bins)\n",
    "bin_wise_params.plot.bar(figsize=(15,5))\n",
    "plt.grid()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "6 bins have under 25 samples. For predictions in these bins, the model is probably not very reliable."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "It would be better to use our simple model for these cases, since we know that it has been trained on a lot of data and performs reasonably well."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(0.0, 30.0]: Simple model\n",
      "(30.0, 60.0]: Simple model\n",
      "(60.0, 90.0]: Simple model\n",
      "(90.0, 120.0]: Simple model\n",
      "(120.0, 150.0]: Simple model\n",
      "(150.0, 180.0]: Bin-wise model\n",
      "(180.0, 210.0]: Bin-wise model\n",
      "(210.0, 240.0]: Bin-wise model\n",
      "(240.0, 270.0]: Bin-wise model\n",
      "(270.0, 300.0]: Bin-wise model\n",
      "(300.0, 330.0]: Simple model\n",
      "(330.0, 360.0]: Simple model\n"
     ]
    }
   ],
   "source": [
    "betas = []\n",
    "\n",
    "for beta, valid_binned, bin_ in zip([stat['betas'] for stat in bin_stats.values()], \n",
    "                              [stat['n_samples']>=25 for stat in bin_stats.values()],\n",
    "                                   dir_bins):\n",
    "    if not valid_binned:\n",
    "        betas.append(np.asarray([ols_model.params['slope'], ols_model.params['offset']]))\n",
    "        print('{}: Simple model'.format(bin_))\n",
    "    else:\n",
    "        betas.append(beta) \n",
    "        print('{}: Bin-wise model'.format(bin_))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Now that we have a more robust model, let's re-predict our time series and check our RMSE metric!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE of binned with fill-in from simple model: 0.403\n"
     ]
    }
   ],
   "source": [
    "bin_rmses = []\n",
    "bin_predictions = []\n",
    "for dir_bin, beta in zip(dir_bins, betas):\n",
    "    lt_data_in_bin = lt_data_1D['spd'][lt_data_1D['dir_bin'] == dir_bin]\n",
    "    data_in_bin = data_1D['spd_58'][lt_data_1D['dir_bin'] == dir_bin]\n",
    "    \n",
    "    bin_prediction = model_fcn(beta, lt_data_in_bin)\n",
    "    bin_predictions.append(bin_prediction)\n",
    "    \n",
    "    bin_rmse = rmse(bin_prediction, data_in_bin)\n",
    "    bin_rmses.append(bin_rmse)\n",
    "\n",
    "all_predictions['binned_fill_simple'] = pd.concat(bin_predictions).sort_index()\n",
    "all_scores['binned_fill_simple'] = np.nanmean(bin_rmses)\n",
    "\n",
    "print('RMSE of binned with fill-in from simple model: {:.3f}'.format(all_scores['binned_fill_simple']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "binned                0.289\n",
       "forest                0.300\n",
       "simple                0.315\n",
       "binned_fill_simple    0.403\n",
       "dtype: float64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.Series(all_scores).sort_values().round(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "It looks as if filling the gaps in the binned model had a very bad impact on our RMSE, making the new model the worst-performing one. What is going on here?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "We should look at the RMSE per bin to get a better picture of how which binned model is to blame for the increase in error. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.DataFrame({'rmse': bin_rmses, 'n_samples': [stat['n_samples'] for stat in bin_stats.values()]}, \n",
    "             index=dir_bins).plot.bar(subplots=True,figsize=(15,5));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "- We are getting the highest errors in the bins where we inserted the simple model.\n",
    "- But, if there is no wind in those bins (= directions), the errors in those bins are not important!\n",
    "- What we really need is a bin-weighted scoring metric!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Improved Scoring Metric: Bin-Weighted RMSE\n",
    "\n",
    "First, we will calculate the weight we give to each bin. This is just proportional to the number of samples in each bin."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "bin_n_samples = [stat['n_samples'] for stat in bin_stats.values()]\n",
    "bin_weights = pd.Series(bin_n_samples, index=dir_bins)/np.sum(bin_n_samples)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "Now we can build our scoring function!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "def rmse_binned(prediction_spd, reference_spd, reference_dir):\n",
    "    sqr_errors = (prediction_spd-reference_spd)**2\n",
    "    weights = bin_weights[reference_dir]\n",
    "    error = np.sqrt(np.nanmean(sqr_errors.values*weights.values))\n",
    "    return error"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "With the scoring function under our belt, let's calculate the bin-weighted RMSE for all of our models' predictions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "            width:  10em;\n",
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       "            width:  10em;\n",
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       "            width:  10em;\n",
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       "            width:  10em;\n",
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       "            background:  linear-gradient(90deg,lightblue 36.1%, transparent 36.1%);\n",
       "        }</style><table id=\"T_ff1108c8_e425_11ea_b419_542696d967b7\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >Unweighted</th>        <th class=\"col_heading level0 col1\" >Bin-Weighted</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_ff1108c8_e425_11ea_b419_542696d967b7level0_row0\" class=\"row_heading level0 row0\" >binned_fill_simple</th>\n",
       "                        <td id=\"T_ff1108c8_e425_11ea_b419_542696d967b7row0_col0\" class=\"data row0 col0\" >0.4026</td>\n",
       "                        <td id=\"T_ff1108c8_e425_11ea_b419_542696d967b7row0_col1\" class=\"data row0 col1\" >0.1328</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_ff1108c8_e425_11ea_b419_542696d967b7level0_row1\" class=\"row_heading level0 row1\" >binned</th>\n",
       "                        <td id=\"T_ff1108c8_e425_11ea_b419_542696d967b7row1_col0\" class=\"data row1 col0\" >0.2888</td>\n",
       "                        <td id=\"T_ff1108c8_e425_11ea_b419_542696d967b7row1_col1\" class=\"data row1 col1\" >0.1347</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_ff1108c8_e425_11ea_b419_542696d967b7level0_row2\" class=\"row_heading level0 row2\" >simple</th>\n",
       "                        <td id=\"T_ff1108c8_e425_11ea_b419_542696d967b7row2_col0\" class=\"data row2 col0\" >0.3152</td>\n",
       "                        <td id=\"T_ff1108c8_e425_11ea_b419_542696d967b7row2_col1\" class=\"data row2 col1\" >0.1416</td>\n",
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       "            <tr>\n",
       "                        <th id=\"T_ff1108c8_e425_11ea_b419_542696d967b7level0_row3\" class=\"row_heading level0 row3\" >forest</th>\n",
       "                        <td id=\"T_ff1108c8_e425_11ea_b419_542696d967b7row3_col0\" class=\"data row3 col0\" >0.2996</td>\n",
       "                        <td id=\"T_ff1108c8_e425_11ea_b419_542696d967b7row3_col1\" class=\"data row3 col1\" >0.1807</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x1b3040ae90>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_scores_binned = {}\n",
    "for model_name, prediction_spd in all_predictions.items():\n",
    "    data_1D['spd_58'][data_1D['dir_bin'] == dir_bin]\n",
    "    all_scores_binned[model_name] = rmse_binned(prediction_spd, lt_data_1D['spd'], lt_data_1D['dir'])\n",
    "    \n",
    "pd.DataFrame([all_scores, all_scores_binned]).T.rename(columns={0: 'Unweighted', 1: 'Bin-Weighted'})\\\n",
    "    .sort_values('Bin-Weighted').style.bar(vmin=0, vmax=0.5, color='lightblue').format('{:.4f}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "The bin-weighted RMSE shows clearer differences between the models than the unweighted score:\n",
    "- Our binned model that is using the simple model's information to fill in gaps scores best\n",
    "- Our simple model performs worse than the binned models\n",
    "- Our forest model performs poorly\n",
    "\n",
    "**So, after all, we should use our robust binned model to predict long-term wind speeds at our mast!**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Predicting the Long-Term Wind Speed\n",
    "\n",
    "Now we can predict the long-term wind speed at our site. This helps us to get a good idea of how much wind energy we can potentially harvest if we build a wind turbine there. \n",
    "\n",
    "Remember: We assume the wind in the future will behave like the wind in the past. To get to the long-term wind speed, we take all predictions from our `bin_fill_simple` model. To maximize accuracy, we substitute it with actual measurements from our mast wherever possible."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Replaced 761 model-predicted samples with measured samples from mast (10.3%).\n"
     ]
    }
   ],
   "source": [
    "lt_speed_at_mast = all_predictions['binned_fill_simple']\n",
    "lt_speed_at_mast[data_1D['spd_58'].index] = data_1D['spd_58']\n",
    "\n",
    "print('Replaced {} model-predicted samples with measured samples from mast ({:.1%}).'\\\n",
    "      .format(data_1D.shape[0], data_1D.shape[0]/lt_speed_at_mast.shape[0]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "Let's summarize our long-term wind speed time series!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Start: 1999-12-31, Length: 20 years, Avg. spd 2.86 m/s\n"
     ]
    }
   ],
   "source": [
    "print('Start: {:%Y-%m-%d}, Length: {:.0f} years, Avg. spd {:.2f} m/s'\\\n",
    "      .format(lt_speed_at_mast.index[0], lt_speed_at_mast.shape[0]/(365.25), lt_speed_at_mast.mean()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "**A few words of caution about the long-term wind speed time series**\n",
    "\n",
    "- Wind speeds usually vary a lot over the day. Therefore, wind turbines produce most energy only within a fraction of that 24 hour period.\n",
    "\n",
    "- We produced a *daily* time series that does not reflect these wind speed changes during the day, because we averaged hourly wind speeds over that 24 hour period.\n",
    "\n",
    "- As a result, we will not get realistic energy production numbers with this time series.\n",
    "\n",
    "- Actual wind resource assessment is much more complicated than shown here."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "**From Wind Speed Measurement to Prediction: Takeaways**\n",
    "\n",
    "- It is easy to build a simple wind speed prediction model\n",
    "- More advanced models perform not always better\n",
    "- Domain knowledge can help a lot with finding the right model\n",
    "- ...and with assessing model performance!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## From Mast Height to Turbine Height\n",
    "\n",
    "- We have: Long-term wind speed time series at 58 m height (height of the wind speed sensor on the mast)\n",
    "- We want: Long-term wind speed time series at height of turbine\n",
    "- We need:\n",
    "    - Information about turbine height\n",
    "    - Information about how wind speed behaves with height\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "In this section: Very short and simplified version."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Turbine Height\n",
    "\n",
    "- We arbitrarily choose [Vestas V112](https://en.wind-turbine-models.com/turbines/7-vestas-v112-onshore) as turbine model.\n",
    "- Hub height: 119 m (hub: \"nose\" of the turbine around which blades rotate)\n",
    "- Turbine height: Hub height + elevation of land that turbine stands on (assume 100 m for all turbines)\n",
    "- Mast height: Mast height + elevation of land that mast stands on (assume 80 m)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "<div><img src=\"./images/sandbox_with_met.jpg\" style=\"width: 20em\"></div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Shear: Behavior of Wind Speed with Height"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "We use the [wind profile power law](https://en.wikipedia.org/wiki/Wind_profile_power_law) to scale mast wind speed to turbine height:\n",
    "\n",
    "$v_{h_\\text{turbine}} = v_{h_\\text{mast}} \\left(\\frac{h_\\text{turbine}}{h_\\text{mast}}\\right)^\\alpha$\n",
    "\n",
    "Shear exponent: $\\alpha$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Let's find the shear exponent by using [brightwind's](https://github.com/brightwind-dev/brightwind/) `Shear.Average()` method. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shear exponent: 0.19\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "anemometer_heights = [30, 45, 58]\n",
    "average_shear = bw.Shear.Average(data[anemometers], anemometer_heights)\n",
    "print('Shear exponent: {:.3}'.format(average_shear.alpha))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Apply Shear Law to Long-Term Time Series\n",
    "\n",
    "Now that we know the shear exponent, we can calculate the long-term time series at turbine height."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "On average, the wind is 9.1% faster at the turbine height than at the measured height.\n"
     ]
    }
   ],
   "source": [
    "h_turbine = 100.0 + 119.0\n",
    "h_mast = 80.0 + 58.0\n",
    "\n",
    "lt_speed_at_turbine = lt_speed_at_mast*(h_turbine/h_mast)**average_shear.alpha\n",
    "\n",
    "print('On average, the wind is {:.1%} faster at the turbine height than at the measured height.' \\\n",
    "      .format(lt_speed_at_turbine.mean()/lt_speed_at_mast.mean()-1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Predicting Wind Turbine Power Output\n",
    "\n",
    "We have come a long way. Now that we have a long-term wind speed time series at turbine height, we are ready to predict turbine power output.\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Power Curve\n",
    "\n",
    "Power Curve: Turbine power output as function of wind speed. Let's plot the V112 power curve!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "power_curve = pd.read_csv('./data/vestas_v112_power_curve.csv', index_col=0).iloc[:,0]\n",
    "power_curve.index.name = 'Wind Speed [m/s]'\n",
    "power_curve.plot(title='Vestas V112 Power Curve (Power Output in kW)', figsize=(15,5), ylim=(0,3500));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "Observations: Turbine only starts to produce power at about 2 m/s wind speed, power output is steady between ca. 12 and 25 m/s."
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "# If you are curious, you can use the code below to create an hourly time series.\n",
    "# This might reflect the wind regime better than the daily time series we calculated above.\n",
    "\n",
    "bin_predictions = []\n",
    "for dir_bin, beta in zip(dir_bins, betas):\n",
    "    lt_data_in_bin = lt_data['era5_0'][lt_data['era5_0']['dir'].map(lambda x: x in(dir_bin))]['spd']\n",
    "        \n",
    "    bin_prediction = model_fcn(beta, lt_data_in_bin)\n",
    "    bin_predictions.append(bin_prediction)\n",
    "lt_speed_at_mast = pd.concat(bin_predictions, axis=0).sort_index()\n",
    "measured_data = data['spd_58'].resample('1h').mean()\n",
    "lt_speed_at_mast[measured_data.index] = measured_data\n",
    "lt_speed_at_turbine_hourly = lt_speed_at_turbine.mean()/lt_speed_at_mast.mean()*lt_speed_at_mast\n",
    "\n",
    "print(lt_speed_at_turbine_hourly.mean())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Power Curve vs. Predicted Wind Speed\n",
    "\n",
    "Now that we know how much power the V112 turbine produces by wind speed, let's see how our predicted long-term wind speed fits into the picture."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "power_curve.plot(title='Vestas V112 Power Curve (Power Output in kW) vs. Long-Term Wind Speed')\n",
    "lt_speed_at_turbine.plot.hist(secondary_y=True, alpha=0.5, bins=20 , figsize=(15,5), label='long-term');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "Observations: Long-term wind speed is very small in comparison to what the turbine can handle, the V112 turbine is completely oversized for this site!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Calculating Power Output\n",
    "\n",
    "Despite the V112 being so oversized, let's play around with the energy production numbers we would get if we were to build this turbine. We want to get a \"feel\" for the power output and put it in the context of the community around the Sandbox, our site."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean turbine output per year in kWh: 24,925\n"
     ]
    }
   ],
   "source": [
    "lt_power_output = np.interp(lt_speed_at_turbine, power_curve.index, power_curve.values, left=0, right=0)\n",
    "lt_power_output = pd.Series(lt_power_output, index=lt_speed_at_turbine.index)\n",
    "\n",
    "time_series_duration_years = lt_power_output.shape[0]/(365.25)\n",
    "output_per_year = lt_power_output.sum()/time_series_duration_years\n",
    "\n",
    "print('Mean turbine output per year in kWh: {:,.0f}'.format(output_per_year))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "Almost 25 MWh! Is that a lot? Is that a little? Let's express this number in other terms:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🍞 Toastable toasts per day for 1 year: 975\n",
      "🚗 Full Tesla Model S charges per year: 249\n"
     ]
    }
   ],
   "source": [
    "print('🍞 Toastable toasts per day for 1 year: {:.0f}'.format(output_per_year/(3.5/60*1.2)/365.25))\n",
    "print('🚗 Full Tesla Model S charges per year: {:.0f}'.format(output_per_year/100))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "That is a lot of toast and a good amount of electric car charges!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### How Many Households Could We Power?\n",
    "\n",
    "- 2017: The mean San Diego household consumed 5600 kWh of electricity (source: [SDGE via Equinox Project](https://sites.energycenter.org/equinox/dashboard/residential-electricity-consumption)).\n",
    "- The Sandbox ZIP code (92121) had 1677 households in 2010 (source: [zip-codes.com](https://www.zip-codes.com/zip-code/92121/zip-code-92121.asp))."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "With one badly-placed turbine, we could power 4.5 San Diego households (0.3% of all around the Sandbox).\n",
      "With 377 badly-placed turbines, we could power 1678 San Diego households (100.1% of all around the Sandbox).\n"
     ]
    }
   ],
   "source": [
    "households_per_turbine = output_per_year/5600\n",
    "pct_of_92121_per_turbine = households_per_turbine/1677\n",
    "\n",
    "print('With one badly-placed turbine, we could power {:.1f} San Diego households ({:.1%} of all around the Sandbox).'\\\n",
    "      .format(households_per_turbine, pct_of_92121_per_turbine))\n",
    "print('With 377 badly-placed turbines, we could power {:.0f} San Diego households ({:.1%} of all around the Sandbox).'\\\n",
    "      .format(households_per_turbine*377, pct_of_92121_per_turbine*377))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "Well, that looks like a dreadful scenario. But, gladly, our wind measurements are artificial. This means: We don't really know how many turbines it would take to power San Diego households.\n",
    "\n",
    "Clearly, using just these artificial data, building a wind turbine close to the Sandbox does not make sense."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Net Capacity Factor (NCF)\n",
    "\n",
    "Experts measure how well a turbine fits a wind speed distribution and electricity grid environment in terms of net capacity factor (NCF).\n",
    "\n",
    "This metric describes how much electricity the turbine will generate from the actual wind environment, in comparison to how much it could theoretically generate, if the wind blew enough to make the turbine generate its maximum power output all the time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The net capacity factor is 2.2%.\n"
     ]
    }
   ],
   "source": [
    "ncf = output_per_year/(365.25*power_curve.max())\n",
    "print('The net capacity factor is {:.1%}.'.format(ncf))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "- This net capacity factor is really, really low! (Typical NCFs: 30% - 50%)\n",
    "- We could place this turbine in way better spots!\n",
    "- Nobody would build a turbine close to the Sandbox (given our artifical data)!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### How \"Valuable\" Would our Power be?\n",
    "\n",
    "- Challenge: Renewable energy is not (always) produced when needed\n",
    "- Selling energy in high-demand hours can be more profitable vs. in low-demand hours\n",
    "\n",
    "<span style=\"color:cornflowerblue\">Blue</span>: Demand / <span style=\"color:coral\">Orange</span>: Demand minus solar and wind (Sell energy when this value is high at slightly cheaper prices than fossil fuel power plants to make good profit.)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "<a title=\"ArnoldReinhold / CC BY-SA (https://creativecommons.org/licenses/by-sa/4.0)\" href=\"https://commons.wikimedia.org/wiki/File:Duck_Curve_CA-ISO_2016-10-22.agr.png\"><img width=\"512\" alt=\"Duck Curve CA-ISO 2016-10-22.agr\" src=\"https://upload.wikimedia.org/wikipedia/commons/a/ab/Duck_Curve_CA-ISO_2016-10-22.agr.png\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Let's plot our diurnal profile to see if we would produce a good amount of electricty during these profitable hours."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
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    "measured_data = data['spd_58'].resample('1h').mean()\n",
    "measured_data.groupby(measured_data.index.hour).mean()\\\n",
    "    .plot(figsize=(15,5), title='Diurnal Power Production Profile', xlim=(0,23));"
   ]
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    "Unfortunately, it looks as if we produce power right when a lot of solar power is in the grid, pushing electricity prices down. Not every wind project is like this – sometimes wind speeds are high just as energy demand peaks."
   ]
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    "### ...but what would be a good spot for a wind turbine?\n",
    "\n",
    "Although San Diego not being one of them, there are some good spots for wind turbines in California.\n",
    "\n",
    "<img src=\"./images/ca_80m_wind_resource_map.png\" style=\"max-height:20em\">"
   ]
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    "\n",
    "## References\n",
    "*(unless noted above)*\n",
    "\n",
    "<small>\n",
    "    \n",
    "**Analyzing Wind Data**\n",
    "- Met data: [synthesizing_a_wind_speed_time_series.ipynb](./data_acquisition/synthesizing_a_wind_speed_time_series.ipynb)\n",
    "\n",
    "**Getting Wind Data: Met Masts**\n",
    "- <a href=\"https://www.flickr.com/photos/75062596@N00/8104180555\">\"Wind measurement tower, north of Mobridge, South Dakota\"</a> by Lars Plougmann is licensed under <a href=\"https://creativecommons.org/licenses/by-sa/2.0/?ref=ccsearch&atype=html\">CC BY-SA 2.0</a>\n",
    "- <a href=\"https://www.flickr.com/photos/37467370@N08/7676229992\">\"Yiwth_3b\"</a> by gvgoebel is licensed under <a href=\"https://creativecommons.org/licenses/by-sa/2.0/?ref=ccsearch&atype=html\">CC BY-SA 2.0</a>\n",
    "\n",
    "**Getting More, Long-Term Data**\n",
    "- ASOS data: [download_and_preprocess_asos_data.ipynb](./data_acquisition/download_and_preprocess_asos_data.ipynb)\n",
    "\n",
    "**Topography vs. Wind**\n",
    "- Fluid animation comes from this video: https://www.youtube.com/watch?v=-GIToNj-m4M\n",
    "- Elevation map downloaded from here: http://www.sangis.org/download/index.html\n",
    "    \n",
    "**Power Curve**\n",
    "- Vestas V112 Power Curve: [en.wind-turbine-models.com/turbines/7-vestas-v112-onshore](https://en.wind-turbine-models.com/turbines/7-vestas-v112-onshore)\n",
    "</small>"
   ]
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   "source": [
    "**References (continued)**\n",
    "\n",
    "<small>\n",
    "    \n",
    "**Calculating Power Output**\n",
    "- Toaster power consumption: [energyusecalculator.com](http://energyusecalculator.com/electricity_toaster.htm), assumed 1200 W for 3.5 minutes\n",
    "- Tesla Model S 100 kWh battery: [Wikipedia](https://en.wikipedia.org/w/index.php?title=Tesla_Model_S&oldid=973551445)\n",
    "\n",
    "**How \"Valuable\" Would our Power be?**\n",
    "- Duck curve image from [Wikimedia Commons](https://upload.wikimedia.org/wikipedia/commons/a/ab/Duck_Curve_CA-ISO_2016-10-22.agr.png)\n",
    "\n",
    "**...but what would be a good spot for a wind turbine?**\n",
    "- California wind map from [windexchange.energy.gov](https://windexchange.energy.gov/maps-data/12)\n",
    "</small>"
   ]
  }
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