ElectricityLoadForecasting.ipynb

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      "source": [
        "# Electricity load forecast\n",
        "\n",
        "> In this example we will show how to perform electricity load forecasting considering a model capable of handling multiple seasonalities (MSTL)."
      ]
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        "<a href=\"https://colab.research.google.com/github/Nixtla/statsforecast/blob/main/nbs/examples/ElectricityLoadForecasting.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "source": [
        "## Introduction"
      ]
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      "source": [
        "Some time series are generated from very low frequency data. These data generally exhibit multiple seasonalities. For example, hourly data may exhibit repeated patterns every hour (every 24 observations) or every day (every 24 * 7, hours per day, observations). This is the case for electricity load. Electricity load may vary hourly, e.g., during the evenings electricity consumption may be expected to increase. But also, the electricity load varies by week. Perhaps on weekends there is an increase in electrical activity.\n",
        "\n",
        "\n",
        "In this example we will show how to model the two seasonalities of the time series to generate accurate forecasts in a short time. We will use hourly PJM electricity load data. The original data can be found [here](https://github.com/jnagura/Energy-consumption-prediction-analysis). "
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      "source": [
        "## Libraries"
      ]
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      "source": [
        "In this example we will use the following libraries:\n",
        "- [`StatsForecast`](https://github.com/Nixtla/statsforecast). Lightning ⚡️ fast forecasting with statistical and econometric models. Includes the MSTL model for multiple seasonalities.\n",
        "- [`DatasetsForecast`](https://github.com/Nixtla/datasetsforecast). Used to evaluate the performance of the forecasts.\n",
        "- [`Prophet`](https://github.com/facebook/prophet). Benchmark model developed by Facebook.\n",
        "- [`NeuralProphet`](https://github.com/ourownstory/neural_prophet). Deep Learning version of `Prophet`. Used as benchark."
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      "source": [
        "%%capture\n",
        "!pip install statsforecast\n",
        "!pip install datasetsforecast\n",
        "!pip install prophet\n",
        "!pip install \"neuralprophet[live]\""
      ]
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      "source": [
        "## Forecast using Multiple Seasonalities"
      ]
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      "source": [
        "### Electricity Load Data"
      ]
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      "source": [
        "According to the [dataset's page](https://www.kaggle.com/datasets/robikscube/hourly-energy-consumption),\n",
        "\n",
        "> PJM Interconnection LLC (PJM) is a regional transmission organization (RTO) in the United States. It is part of the Eastern Interconnection grid operating an electric transmission system serving all or parts of Delaware, Illinois, Indiana, Kentucky, Maryland, Michigan, New Jersey, North Carolina, Ohio, Pennsylvania, Tennessee, Virginia, West Virginia, and the District of Columbia. The hourly power consumption data comes from PJM's website and are in megawatts (MW)."
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      "source": [
        "Let's take a look to the data."
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      "source": [
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "\n",
        "pd.plotting.register_matplotlib_converters()\n",
        "plt.rc(\"figure\", figsize=(10, 8))\n",
        "plt.rc(\"font\", size=10)"
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              "             unique_id                  ds        y\n",
              "32891  PJM_Load_hourly 2001-12-31 20:00:00  36392.0\n",
              "32892  PJM_Load_hourly 2001-12-31 21:00:00  35082.0\n",
              "32893  PJM_Load_hourly 2001-12-31 22:00:00  33890.0\n",
              "32894  PJM_Load_hourly 2001-12-31 23:00:00  32590.0\n",
              "32895  PJM_Load_hourly 2002-01-01 00:00:00  31569.0"
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        "df = pd.read_csv('https://raw.githubusercontent.com/jnagura/Energy-consumption-prediction-analysis/master/PJM_Load_hourly.csv')\n",
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        "df.insert(0, 'unique_id', 'PJM_Load_hourly')\n",
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              "<Axes: xlabel='ds'>"
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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "df.plot(x='ds', y='y')"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "67d1894d-8147-4ad0-ab56-3786cf10ecd7",
      "metadata": {
        "id": "67d1894d-8147-4ad0-ab56-3786cf10ecd7"
      },
      "source": [
        "We clearly observe that the time series exhibits seasonal patterns. Moreover, the time series contains `32,896` observations, so it is necessary to use very computationally efficient methods to display them in production."
      ]
    },
    {
      "cell_type": "markdown",
      "id": "5d420471-6dd5-4aee-8c53-f8bd2809a3f1",
      "metadata": {
        "id": "5d420471-6dd5-4aee-8c53-f8bd2809a3f1"
      },
      "source": [
        "### MSTL model"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "b0fb7054-0695-450c-9b77-e637923ea481",
      "metadata": {
        "id": "b0fb7054-0695-450c-9b77-e637923ea481"
      },
      "source": [
        "The `MSTL` (Multiple Seasonal-Trend decomposition using LOESS) model, originally developed by [Kasun Bandara, Rob J Hyndman and Christoph Bergmeir](https://arxiv.org/abs/2107.13462), decomposes the time series in multiple seasonalities using a Local Polynomial Regression (LOESS). Then it forecasts the trend using a custom non-seasonal model and each seasonality using a `SeasonalNaive` model."
      ]
    },
    {
      "cell_type": "markdown",
      "id": "4df75d56-1435-4bab-bc74-20acbebfc2c7",
      "metadata": {
        "id": "4df75d56-1435-4bab-bc74-20acbebfc2c7"
      },
      "source": [
        "`StatsForecast` contains a fast implementation of the `MSTL` model. Also, the decomposition of the time series can be calculated."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "id": "06b403c8-0101-45c7-8a5c-5aae72ec59ef",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "06b403c8-0101-45c7-8a5c-5aae72ec59ef",
        "outputId": "90ca802d-3e7b-4a0c-d553-073aeb8035fc"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/statsforecast/core.py:21: TqdmExperimentalWarning: Using `tqdm.autonotebook.tqdm` in notebook mode. Use `tqdm.tqdm` instead to force console mode (e.g. in jupyter console)\n",
            "  from tqdm.autonotebook import tqdm\n"
          ]
        }
      ],
      "source": [
        "from statsforecast import StatsForecast\n",
        "from statsforecast.models import MSTL, AutoARIMA, SeasonalNaive\n",
        "from statsforecast.utils import AirPassengers as ap"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "4f8072ee-03bb-4a82-b1d7-300d48ad2512",
      "metadata": {
        "id": "4f8072ee-03bb-4a82-b1d7-300d48ad2512"
      },
      "source": [
        "First we must define the model parameters. As mentioned before, the electricity load presents seasonalities every 24 hours (Hourly) and every 24 * 7 (Daily) hours. Therefore, we will use `[24, 24 * 7]` as the seasonalities that the MSTL model receives. We must also specify the manner in which the trend will be forecasted. In this case we will use the `AutoARIMA` model."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "id": "c7e4b099-4474-438b-a923-da54c4e6f895",
      "metadata": {
        "id": "c7e4b099-4474-438b-a923-da54c4e6f895"
      },
      "outputs": [],
      "source": [
        "mstl = MSTL(\n",
        "    season_length=[24, 24 * 7], # seasonalities of the time series \n",
        "    trend_forecaster=AutoARIMA() # model used to forecast trend\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "c1960648-9585-44f7-ad66-673e2533a1ea",
      "metadata": {
        "id": "c1960648-9585-44f7-ad66-673e2533a1ea"
      },
      "source": [
        "Once the model is instantiated, we have to instantiate the `StatsForecast` class to create forecasts. "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "id": "42c2b43e-dab0-4685-a3e2-c33845739a73",
      "metadata": {
        "id": "42c2b43e-dab0-4685-a3e2-c33845739a73"
      },
      "outputs": [],
      "source": [
        "sf = StatsForecast(\n",
        "    models=[mstl], # model used to fit each time series \n",
        "    freq='H', # frequency of the data\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "47ab98f4-f744-4183-821e-a755076be5e4",
      "metadata": {
        "id": "47ab98f4-f744-4183-821e-a755076be5e4"
      },
      "source": [
        "#### Fit the model"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "42d1251a-2285-4311-9acc-1eec4b4de05b",
      "metadata": {
        "id": "42d1251a-2285-4311-9acc-1eec4b4de05b"
      },
      "source": [
        "Afer that, we just have to use the `fit` method to fit each model to each time series."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "id": "a225b36f-cc2d-4198-ae3d-e2d88a630b4f",
      "metadata": {
        "id": "a225b36f-cc2d-4198-ae3d-e2d88a630b4f"
      },
      "outputs": [],
      "source": [
        "sf = sf.fit(df=df)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "5e315403-84c9-45e3-aa54-856062940ffb",
      "metadata": {
        "id": "5e315403-84c9-45e3-aa54-856062940ffb"
      },
      "source": [
        "#### Decompose the time series in multiple seasonalities"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "08999e28-ec84-498a-a0a6-5f3f34aeb5d4",
      "metadata": {
        "id": "08999e28-ec84-498a-a0a6-5f3f34aeb5d4"
      },
      "source": [
        "Once the model is fitted, we can access the decomposition using the `fitted_` attribute of `StatsForecast`. This attribute stores all relevant information of the fitted models for each of the time series. \n",
        "\n",
        "\n",
        "In this case we are fitting a single model for a single time series, so by accessing the fitted_ location [0, 0] we will find the relevant information of our model. The `MSTL` class generates a `model_` attribute that contains the way the series was decomposed."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "ecbb1de6-a5b6-46cd-9152-2c8de30ec1c3",
      "metadata": {
        "id": "ecbb1de6-a5b6-46cd-9152-2c8de30ec1c3",
        "outputId": "ab359512-8b7c-4b62-d21e-2cb8eef2b44e"
      },
      "outputs": [
        {
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            "text/plain": [
              "          data         trend   seasonal24  seasonal168   remainder\n",
              "0      22259.0  26183.898892 -5215.124554   609.000432  681.225229\n",
              "1      21244.0  26181.599305 -6255.673234   603.823918  714.250011\n",
              "2      20651.0  26179.294886 -6905.329895   636.820423  740.214587\n",
              "3      20421.0  26176.985472 -7073.420118   615.825999  701.608647\n",
              "4      20713.0  26174.670877 -7062.395760   991.521912  609.202971\n",
              "...        ...           ...          ...          ...         ...\n",
              "32891  36392.0  33123.552727  4387.149171  -488.177882 -630.524015\n",
              "32892  35082.0  33148.242575  3479.852929  -682.928737 -863.166767\n",
              "32893  33890.0  33172.926165  2307.808829  -650.566775 -940.168219\n",
              "32894  32590.0  33197.603322   748.587723  -555.177849 -801.013195\n",
              "32895  31569.0  33222.273902  -967.124123  -265.895357 -420.254422\n",
              "\n",
              "[32896 rows x 5 columns]"
            ]
          },
          "execution_count": null,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "sf.fitted_[0, 0].model_"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "7835d1a1-ce8f-41de-b810-8b228d80c17e",
      "metadata": {
        "id": "7835d1a1-ce8f-41de-b810-8b228d80c17e"
      },
      "source": [
        "Let's look graphically at the different components of the time series."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "ef2b453f-4a1b-4425-ba01-a43ccfb7084d",
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        "outputId": "8d0f9308-ae80-4b09-ff9d-9df635e63ee9"
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      "outputs": [
        {
          "data": {
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",
            "text/plain": [
              "<Figure size 720x576 with 5 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "sf.fitted_[0, 0].model_.tail(24 * 28).plot(subplots=True, grid=True)\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "489f379b-a420-434a-99cd-3e5627eaa0ea",
      "metadata": {
        "id": "489f379b-a420-434a-99cd-3e5627eaa0ea"
      },
      "source": [
        "We observe that there is a clear trend towards the high (orange line). This component would be predicted with the `AutoARIMA` model. We can also observe that every 24 hours and every `24 * 7` hours there is a very well defined pattern. These two components will be forecast separately using a `SeasonalNaive` model. "
      ]
    },
    {
      "cell_type": "markdown",
      "id": "45e9d4d1-bfe3-4027-b68a-43fd948baef6",
      "metadata": {
        "id": "45e9d4d1-bfe3-4027-b68a-43fd948baef6"
      },
      "source": [
        "#### Produce forecasts"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "4c5caf09-2a25-443c-a2c2-d42c0b78fff4",
      "metadata": {
        "id": "4c5caf09-2a25-443c-a2c2-d42c0b78fff4"
      },
      "source": [
        "To generate forecasts we only have to use the `predict` method specifying the forecast horizon (`h`). In addition, to calculate prediction intervals associated to the forecasts, we can include the parameter `level` that receives a list of levels of the prediction intervals we want to build. In this case we will only calculate the 90% forecast interval (`level=[90]`). "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "d816975c-522e-45c1-86ad-d01adfa4f4ed",
      "metadata": {
        "id": "d816975c-522e-45c1-86ad-d01adfa4f4ed",
        "outputId": "20b8cdca-90bf-4b10-fb32-e91b22e805ac"
      },
      "outputs": [
        {
          "data": {
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              "      <th>ds</th>\n",
              "      <th>MSTL</th>\n",
              "      <th>MSTL-lo-90</th>\n",
              "      <th>MSTL-hi-90</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>unique_id</th>\n",
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              "      <th></th>\n",
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              "      <th></th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
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              "      <th>PJM_Load_hourly</th>\n",
              "      <td>2002-01-01 01:00:00</td>\n",
              "      <td>29956.744141</td>\n",
              "      <td>29585.187500</td>\n",
              "      <td>30328.298828</td>\n",
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              "    <tr>\n",
              "      <th>PJM_Load_hourly</th>\n",
              "      <td>2002-01-01 02:00:00</td>\n",
              "      <td>29057.691406</td>\n",
              "      <td>28407.498047</td>\n",
              "      <td>29707.884766</td>\n",
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              "    <tr>\n",
              "      <th>PJM_Load_hourly</th>\n",
              "      <td>2002-01-01 03:00:00</td>\n",
              "      <td>28654.699219</td>\n",
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              "      <th>PJM_Load_hourly</th>\n",
              "      <td>2002-01-01 04:00:00</td>\n",
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              "    <tr>\n",
              "      <th>PJM_Load_hourly</th>\n",
              "      <td>2002-01-01 05:00:00</td>\n",
              "      <td>28821.716797</td>\n",
              "      <td>27552.236328</td>\n",
              "      <td>30091.197266</td>\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "          const element = document.querySelector('#df-31a8af90-49ff-4dd5-b834-25564269e4d6');\n",
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              "                                                     [key], {});\n",
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              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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              "  "
            ],
            "text/plain": [
              "                                 ds          MSTL    MSTL-lo-90    MSTL-hi-90\n",
              "unique_id                                                                    \n",
              "PJM_Load_hourly 2002-01-01 01:00:00  29956.744141  29585.187500  30328.298828\n",
              "PJM_Load_hourly 2002-01-01 02:00:00  29057.691406  28407.498047  29707.884766\n",
              "PJM_Load_hourly 2002-01-01 03:00:00  28654.699219  27767.101562  29542.298828\n",
              "PJM_Load_hourly 2002-01-01 04:00:00  28499.009766  27407.640625  29590.378906\n",
              "PJM_Load_hourly 2002-01-01 05:00:00  28821.716797  27552.236328  30091.197266"
            ]
          },
          "execution_count": null,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "forecasts = sf.predict(h=24, level=[90])\n",
        "forecasts.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "c3a661ee-1b5b-40fb-be52-2cc9f9dfab19",
      "metadata": {
        "id": "c3a661ee-1b5b-40fb-be52-2cc9f9dfab19"
      },
      "source": [
        "Let's look at our forecasts graphically."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "8b87ee1e-3a16-4f52-9053-76681db1eeea",
      "metadata": {
        "id": "8b87ee1e-3a16-4f52-9053-76681db1eeea",
        "outputId": "96006398-db74-4565-c1ae-f3db8ba4931f"
      },
      "outputs": [
        {
          "data": {
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",
            "text/plain": [
              "<Figure size 1440x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "_, ax = plt.subplots(1, 1, figsize = (20, 7))\n",
        "df_plot = pd.concat([df, forecasts]).set_index('ds').tail(24 * 7)\n",
        "df_plot[['y', 'MSTL']].plot(ax=ax, linewidth=2)\n",
        "ax.fill_between(df_plot.index, \n",
        "                df_plot['MSTL-lo-90'], \n",
        "                df_plot['MSTL-hi-90'],\n",
        "                alpha=.35,\n",
        "                color='orange',\n",
        "                label='MSTL-level-90')\n",
        "ax.set_title('PJM Load Hourly', fontsize=22)\n",
        "ax.set_ylabel('Electricity Load', fontsize=20)\n",
        "ax.set_xlabel('Timestamp [t]', fontsize=20)\n",
        "ax.legend(prop={'size': 15})\n",
        "ax.grid()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "1451d556-6da2-4712-830f-a317e72196af",
      "metadata": {
        "id": "1451d556-6da2-4712-830f-a317e72196af"
      },
      "source": [
        "In the next section we will plot different models so it is convenient to reuse the previous code with the following function. "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "7aeab84b-27a4-400c-b1ae-d06c24c1e23d",
      "metadata": {
        "id": "7aeab84b-27a4-400c-b1ae-d06c24c1e23d"
      },
      "outputs": [],
      "source": [
        "def plot_forecasts(y_hist, y_true, y_pred, models):\n",
        "    _, ax = plt.subplots(1, 1, figsize = (20, 7))\n",
        "    y_true = y_true.merge(y_pred, how='left', on=['unique_id', 'ds'])\n",
        "    df_plot = pd.concat([y_hist, y_true]).set_index('ds').tail(24 * 7)\n",
        "    df_plot[['y'] + models].plot(ax=ax, linewidth=2)\n",
        "    colors = ['orange', 'green', 'red']\n",
        "    for model, color in zip(models, colors):\n",
        "        ax.fill_between(df_plot.index, \n",
        "                        df_plot[f'{model}-lo-90'], \n",
        "                        df_plot[f'{model}-hi-90'],\n",
        "                        alpha=.35,\n",
        "                        color=color,\n",
        "                        label=f'{model}-level-90')\n",
        "    ax.set_title('PJM Load Hourly', fontsize=22)\n",
        "    ax.set_ylabel('Electricity Load', fontsize=20)\n",
        "    ax.set_xlabel('Timestamp [t]', fontsize=20)\n",
        "    ax.legend(prop={'size': 15})\n",
        "    ax.grid()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "38778092-f9a3-43d1-84e4-f8c74fe57df1",
      "metadata": {
        "id": "38778092-f9a3-43d1-84e4-f8c74fe57df1"
      },
      "source": [
        "### Performance of the MSTL model"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "16b75bd3-e5cc-4ee6-a440-9eb44f2a08f0",
      "metadata": {
        "id": "16b75bd3-e5cc-4ee6-a440-9eb44f2a08f0"
      },
      "source": [
        "#### Split Train/Test sets"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "1f244e9e-c573-43fd-a462-774eab2817bf",
      "metadata": {
        "id": "1f244e9e-c573-43fd-a462-774eab2817bf"
      },
      "source": [
        "To validate the accuracy of the `MSTL` model, we will show its performance on unseen data. We will use a classical time series technique that consists of dividing the data into a training set and a test set. We will leave the last 24 observations (the last day) as the test set. So the model will train on `32,872` observations. "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "c8cb961a-7b33-4853-98dc-c7f9427c9a51",
      "metadata": {
        "id": "c8cb961a-7b33-4853-98dc-c7f9427c9a51"
      },
      "outputs": [],
      "source": [
        "df_test = df.tail(24)\n",
        "df_train = df.drop(df_test.index)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "bfbfcf9e-b47c-4a1d-bda1-1ae52ba3791f",
      "metadata": {
        "id": "bfbfcf9e-b47c-4a1d-bda1-1ae52ba3791f"
      },
      "source": [
        "#### MSTL model"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "aeec9c71-3414-4430-9479-f4c0e64d5e67",
      "metadata": {
        "id": "aeec9c71-3414-4430-9479-f4c0e64d5e67"
      },
      "source": [
        "In addition to the `MSTL` model, we will include the `SeasonalNaive` model as a benchmark to validate the added value of the `MSTL` model. Including `StatsForecast` models is as simple as adding them to the list of models to be fitted."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "8ffe18c5-7f19-4573-affb-fe35532d6e0b",
      "metadata": {
        "id": "8ffe18c5-7f19-4573-affb-fe35532d6e0b"
      },
      "outputs": [],
      "source": [
        "sf = StatsForecast(\n",
        "    models=[mstl, SeasonalNaive(season_length=24)], # add SeasonalNaive model to the list\n",
        "    freq='H'\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "3f2f74bd-3a89-4ddf-9b8e-8ac32ce5a20c",
      "metadata": {
        "id": "3f2f74bd-3a89-4ddf-9b8e-8ac32ce5a20c"
      },
      "source": [
        "To measure the fitting time we will use the `time` module. "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "8d7996fb-46fa-4d1f-8620-345c8be7fb74",
      "metadata": {
        "id": "8d7996fb-46fa-4d1f-8620-345c8be7fb74"
      },
      "outputs": [],
      "source": [
        "from time import time"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "bee3d668-8776-4251-ba53-aba22943c657",
      "metadata": {
        "id": "bee3d668-8776-4251-ba53-aba22943c657"
      },
      "source": [
        "To retrieve the forecasts of the test set we only have to do fit and predict as before."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "edde86f8-178f-47f8-a884-fdbaa3718fee",
      "metadata": {
        "id": "edde86f8-178f-47f8-a884-fdbaa3718fee",
        "outputId": "aa996ad7-6467-41d1-fd06-6b4f1439734f"
      },
      "outputs": [
        {
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              "      <th>MSTL</th>\n",
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              "      <th>PJM_Load_hourly</th>\n",
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            "text/plain": [
              "                                 ds          MSTL    MSTL-lo-90    MSTL-hi-90  \\\n",
              "unique_id                                                                       \n",
              "PJM_Load_hourly 2001-12-31 01:00:00  28345.212891  27973.570312  28716.853516   \n",
              "PJM_Load_hourly 2001-12-31 02:00:00  27567.455078  26917.085938  28217.824219   \n",
              "PJM_Load_hourly 2001-12-31 03:00:00  27260.001953  26372.138672  28147.865234   \n",
              "PJM_Load_hourly 2001-12-31 04:00:00  27328.125000  26236.410156  28419.839844   \n",
              "PJM_Load_hourly 2001-12-31 05:00:00  27640.673828  26370.773438  28910.572266   \n",
              "\n",
              "                 SeasonalNaive  SeasonalNaive-lo-90  SeasonalNaive-hi-90  \n",
              "unique_id                                                                 \n",
              "PJM_Load_hourly        28326.0         23468.693359         33183.308594  \n",
              "PJM_Load_hourly        27362.0         22504.693359         32219.306641  \n",
              "PJM_Load_hourly        27108.0         22250.693359         31965.306641  \n",
              "PJM_Load_hourly        26865.0         22007.693359         31722.306641  \n",
              "PJM_Load_hourly        26808.0         21950.693359         31665.306641  "
            ]
          },
          "execution_count": null,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "init = time()\n",
        "sf = sf.fit(df=df_train)\n",
        "forecasts_test = sf.predict(h=len(df_test), level=[90])\n",
        "end = time()\n",
        "forecasts_test.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "99be6662-ee80-4552-9834-e42ca7c80b88",
      "metadata": {
        "id": "99be6662-ee80-4552-9834-e42ca7c80b88",
        "outputId": "2320cccf-f12e-4147-b9d3-656eb249bdf7"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "MSTL Time: 0.43 minutes\n"
          ]
        }
      ],
      "source": [
        "time_mstl = (end - init) / 60\n",
        "print(f'MSTL Time: {time_mstl:.2f} minutes')"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "1d04d7f0-970a-4f15-af33-4c33d8954511",
      "metadata": {
        "id": "1d04d7f0-970a-4f15-af33-4c33d8954511"
      },
      "source": [
        "Then we were able to generate forecasts for the next 24 hours. Now let's look at the graphical comparison of the forecasts with the actual values."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "75e24831-a39f-4454-bba2-8606cef9cd3d",
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      },
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        {
          "data": {
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",
            "text/plain": [
              "<Figure size 1440x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "plot_forecasts(df_train, df_test, forecasts_test, models=['MSTL', 'SeasonalNaive'])"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "cd6d3e7c-089c-4349-b97c-a4a25d3bc101",
      "metadata": {
        "id": "cd6d3e7c-089c-4349-b97c-a4a25d3bc101"
      },
      "source": [
        "Let's look at those produced only by `MSTL`. "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "f6ff1aa8-586f-45ff-b31b-9e4715c7877c",
      "metadata": {
        "id": "f6ff1aa8-586f-45ff-b31b-9e4715c7877c",
        "outputId": "85bd90ca-dbcb-448e-978a-4664b6c6ed3f"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1440x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "plot_forecasts(df_train, df_test, forecasts_test, models=['MSTL'])"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "3aaf206b-5beb-4c3b-9c38-56680e06cc13",
      "metadata": {
        "id": "3aaf206b-5beb-4c3b-9c38-56680e06cc13"
      },
      "source": [
        "We note that `MSTL` produces very accurate forecasts that follow the behavior of the time series. Now let us calculate numerically the accuracy of the model. We will use the following metrics: `MAE`, `MAPE`, `MASE`, `RMSE`, `SMAPE`."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "547c3d8a-c4a9-4d25-8815-8f6d933aa464",
      "metadata": {
        "id": "547c3d8a-c4a9-4d25-8815-8f6d933aa464"
      },
      "outputs": [],
      "source": [
        "from datasetsforecast.losses import (\n",
        "    mae, mape, mase, rmse, smape\n",
        ")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "77a2eed3-abad-4c8b-88e7-9745a657d83e",
      "metadata": {
        "id": "77a2eed3-abad-4c8b-88e7-9745a657d83e"
      },
      "outputs": [],
      "source": [
        "def evaluate_performace(y_hist, y_true, y_pred, models):\n",
        "    y_true = y_true.merge(y_pred, how='left', on=['unique_id', 'ds'])\n",
        "    evaluation = {}\n",
        "    for model in models:\n",
        "        evaluation[model] = {}\n",
        "        for metric in [mase, mae, mape, rmse, smape]:\n",
        "            metric_name = metric.__name__\n",
        "            if metric_name == 'mase':\n",
        "                evaluation[model][metric_name] = metric(y_true['y'].values, \n",
        "                                                 y_true[model].values, \n",
        "                                                 y_hist['y'].values, seasonality=24)\n",
        "            else:\n",
        "                evaluation[model][metric_name] = metric(y_true['y'].values, y_true[model].values)\n",
        "    return pd.DataFrame(evaluation).T"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "8f373723-7c8e-40be-a28e-1d32e9d6a81a",
      "metadata": {
        "id": "8f373723-7c8e-40be-a28e-1d32e9d6a81a",
        "outputId": "d4ab80b9-8234-4a5a-837d-37a9d2c47f81"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-a93248b9-3e94-4908-b341-f880ebc943bf\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>mase</th>\n",
              "      <th>mae</th>\n",
              "      <th>mape</th>\n",
              "      <th>rmse</th>\n",
              "      <th>smape</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>MSTL</th>\n",
              "      <td>0.341926</td>\n",
              "      <td>709.932048</td>\n",
              "      <td>2.182804</td>\n",
              "      <td>892.888012</td>\n",
              "      <td>2.162832</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SeasonalNaive</th>\n",
              "      <td>0.894653</td>\n",
              "      <td>1857.541667</td>\n",
              "      <td>5.648190</td>\n",
              "      <td>2201.384101</td>\n",
              "      <td>5.868604</td>\n",
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              "  </tbody>\n",
              "</table>\n",
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              "\n",
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              "  </style>\n",
              "\n",
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              "          document.querySelector('#df-a93248b9-3e94-4908-b341-f880ebc943bf button.colab-df-convert');\n",
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              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-a93248b9-3e94-4908-b341-f880ebc943bf');\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "          docLink.innerHTML = docLinkHtml;\n",
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              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "                   mase          mae      mape         rmse     smape\n",
              "MSTL           0.341926   709.932048  2.182804   892.888012  2.162832\n",
              "SeasonalNaive  0.894653  1857.541667  5.648190  2201.384101  5.868604"
            ]
          },
          "execution_count": null,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "evaluate_performace(df_train, df_test, forecasts_test, models=['MSTL', 'SeasonalNaive'])"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "4ca963c8-ce66-48c1-aa60-b2231bc4840e",
      "metadata": {
        "id": "4ca963c8-ce66-48c1-aa60-b2231bc4840e"
      },
      "source": [
        "We observe that `MSTL` has an improvement of about 60% over the `SeasonalNaive` method in the test set measured in `MASE`."
      ]
    },
    {
      "cell_type": "markdown",
      "id": "71db8c67-4464-4a47-b8d0-d6a3980bc5af",
      "metadata": {
        "id": "71db8c67-4464-4a47-b8d0-d6a3980bc5af"
      },
      "source": [
        "#### Comparison with Prophet"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "a307474c-94e6-4344-838e-67ea6cbcd280",
      "metadata": {
        "id": "a307474c-94e6-4344-838e-67ea6cbcd280"
      },
      "source": [
        "One of the most widely used models for time series forecasting is `Prophet`. This model is known for its ability to model different seasonalities (weekly, daily yearly). We will use this model as a benchmark to see if the `MSTL` adds value for this time series. "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "ca3f2e11-f04f-4e7f-8815-7535c789c8fd",
      "metadata": {
        "id": "ca3f2e11-f04f-4e7f-8815-7535c789c8fd",
        "outputId": "cf52c48b-9171-4c61-b284-7f762c4a14ae"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "DEBUG:cmdstanpy:input tempfile: /tmp/tmpc6f7_v9l/08tirxvt.json\n",
            "DEBUG:cmdstanpy:input tempfile: /tmp/tmpc6f7_v9l/gp60b_b1.json\n",
            "DEBUG:cmdstanpy:idx 0\n",
            "DEBUG:cmdstanpy:running CmdStan, num_threads: None\n",
            "DEBUG:cmdstanpy:CmdStan args: ['/usr/local/lib/python3.7/dist-packages/prophet/stan_model/prophet_model.bin', 'random', 'seed=27632', 'data', 'file=/tmp/tmpc6f7_v9l/08tirxvt.json', 'init=/tmp/tmpc6f7_v9l/gp60b_b1.json', 'output', 'file=/tmp/tmpc6f7_v9l/prophet_modelkou9navr/prophet_model-20221111002506.csv', 'method=optimize', 'algorithm=lbfgs', 'iter=10000']\n",
            "00:25:06 - cmdstanpy - INFO - Chain [1] start processing\n",
            "INFO:cmdstanpy:Chain [1] start processing\n",
            "00:25:58 - cmdstanpy - INFO - Chain [1] done processing\n",
            "INFO:cmdstanpy:Chain [1] done processing\n"
          ]
        },
        {
          "data": {
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              "\n",
              "  <div id=\"df-c241f951-c167-4de8-85e8-ab22cf336312\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
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              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>unique_id</th>\n",
              "      <th>ds</th>\n",
              "      <th>Prophet</th>\n",
              "      <th>Prophet-lo-90</th>\n",
              "      <th>Prophet-hi-90</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>PJM_Load_hourly</td>\n",
              "      <td>2001-12-31 01:00:00</td>\n",
              "      <td>25255.037078</td>\n",
              "      <td>20589.007557</td>\n",
              "      <td>30472.856691</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>PJM_Load_hourly</td>\n",
              "      <td>2001-12-31 02:00:00</td>\n",
              "      <td>23961.427979</td>\n",
              "      <td>19078.763798</td>\n",
              "      <td>28752.007690</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>PJM_Load_hourly</td>\n",
              "      <td>2001-12-31 03:00:00</td>\n",
              "      <td>23285.418846</td>\n",
              "      <td>18491.391041</td>\n",
              "      <td>28213.042892</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>PJM_Load_hourly</td>\n",
              "      <td>2001-12-31 04:00:00</td>\n",
              "      <td>23293.143264</td>\n",
              "      <td>18620.414846</td>\n",
              "      <td>28364.115196</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>PJM_Load_hourly</td>\n",
              "      <td>2001-12-31 05:00:00</td>\n",
              "      <td>24067.737572</td>\n",
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              "</table>\n",
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              "\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
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              "          const element = document.querySelector('#df-c241f951-c167-4de8-85e8-ab22cf336312');\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "         unique_id                  ds       Prophet  Prophet-lo-90  \\\n",
              "0  PJM_Load_hourly 2001-12-31 01:00:00  25255.037078   20589.007557   \n",
              "1  PJM_Load_hourly 2001-12-31 02:00:00  23961.427979   19078.763798   \n",
              "2  PJM_Load_hourly 2001-12-31 03:00:00  23285.418846   18491.391041   \n",
              "3  PJM_Load_hourly 2001-12-31 04:00:00  23293.143264   18620.414846   \n",
              "4  PJM_Load_hourly 2001-12-31 05:00:00  24067.737572   19062.318724   \n",
              "\n",
              "   Prophet-hi-90  \n",
              "0   30472.856691  \n",
              "1   28752.007690  \n",
              "2   28213.042892  \n",
              "3   28364.115196  \n",
              "4   29162.041606  "
            ]
          },
          "execution_count": null,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "from prophet import Prophet\n",
        "\n",
        "# create prophet model\n",
        "prophet = Prophet(interval_width=0.9)\n",
        "init = time()\n",
        "prophet.fit(df_train)\n",
        "# produce forecasts\n",
        "future = prophet.make_future_dataframe(periods=len(df_test), freq='H', include_history=False)\n",
        "forecast_prophet = prophet.predict(future)\n",
        "end = time()\n",
        "# data wrangling\n",
        "forecast_prophet = forecast_prophet[['ds', 'yhat', 'yhat_lower', 'yhat_upper']]\n",
        "forecast_prophet.columns = ['ds', 'Prophet', 'Prophet-lo-90', 'Prophet-hi-90']\n",
        "forecast_prophet.insert(0, 'unique_id', 'PJM_Load_hourly')\n",
        "forecast_prophet.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "3e127052-8170-464f-b2bd-ebfa258e6ec1",
      "metadata": {
        "id": "3e127052-8170-464f-b2bd-ebfa258e6ec1",
        "outputId": "96f9ac9c-a3fe-42e5-d06d-efdb54a8e841"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Prophet Time: 0.93 minutes\n"
          ]
        }
      ],
      "source": [
        "time_prophet = (end - init) / 60\n",
        "print(f'Prophet Time: {time_prophet:.2f} minutes')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "ef1e6db5-f154-4774-8d05-935cb83b931b",
      "metadata": {
        "id": "ef1e6db5-f154-4774-8d05-935cb83b931b",
        "outputId": "033f5fc0-43c9-4248-ad4b-4abd55638574"
      },
      "outputs": [
        {
          "data": {
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              "      <th></th>\n",
              "      <th>model</th>\n",
              "      <th>time (mins)</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>MSTL</td>\n",
              "      <td>0.425080</td>\n",
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              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-07d6d15d-e20c-43ad-8270-9d183e361896 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-07d6d15d-e20c-43ad-8270-9d183e361896');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "     model  time (mins)\n",
              "0     MSTL     0.425080\n",
              "1  Prophet     0.928628"
            ]
          },
          "execution_count": null,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "times = pd.DataFrame({'model': ['MSTL', 'Prophet'], 'time (mins)': [time_mstl, time_prophet]})\n",
        "times"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "8811b7e3-ff61-49e3-9394-6dbc4a04a8d7",
      "metadata": {
        "id": "8811b7e3-ff61-49e3-9394-6dbc4a04a8d7"
      },
      "source": [
        "We observe that the time required for `Prophet` to perform the fit and predict pipeline is greater than `MSTL`. Let's look at the forecasts produced by `Prophet`."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "d835cb30-5473-4108-a1ac-1562a08aec68",
      "metadata": {
        "id": "d835cb30-5473-4108-a1ac-1562a08aec68"
      },
      "outputs": [],
      "source": [
        "forecasts_test = forecasts_test.merge(forecast_prophet, how='left', on=['unique_id', 'ds'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "dc4a0542-6fdf-46e2-bd2a-4a989520b66f",
      "metadata": {
        "id": "dc4a0542-6fdf-46e2-bd2a-4a989520b66f",
        "outputId": "7fe8f193-5409-4f93-aef7-bb685159180b"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 1440x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "plot_forecasts(df_train, df_test, forecasts_test, models=['MSTL', 'SeasonalNaive', 'Prophet'])"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "c783a108-c618-4231-ba0f-1e9ceeec865d",
      "metadata": {
        "id": "c783a108-c618-4231-ba0f-1e9ceeec865d"
      },
      "source": [
        "We note that `Prophet` is able to capture the overall behavior of the time series. However, in some cases it produces forecasts well below the actual value. It also does not correctly adjust the valleys. "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "7e4edac8-82e7-4a1f-b97c-5bb96e2bd46e",
      "metadata": {
        "id": "7e4edac8-82e7-4a1f-b97c-5bb96e2bd46e",
        "outputId": "cd7ebe83-f7b8-46d7-cbbf-2ff99c78d580"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-e05a6982-f2db-4708-9b28-0e67dff6f610\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
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              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
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              "        vertical-align: top;\n",
              "    }\n",
              "\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>mase</th>\n",
              "      <th>mae</th>\n",
              "      <th>mape</th>\n",
              "      <th>rmse</th>\n",
              "      <th>smape</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>MSTL</th>\n",
              "      <td>0.341926</td>\n",
              "      <td>709.932048</td>\n",
              "      <td>2.182804</td>\n",
              "      <td>892.888012</td>\n",
              "      <td>2.162832</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Prophet</th>\n",
              "      <td>1.107472</td>\n",
              "      <td>2299.413375</td>\n",
              "      <td>7.427523</td>\n",
              "      <td>2742.792022</td>\n",
              "      <td>7.789355</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SeasonalNaive</th>\n",
              "      <td>0.894653</td>\n",
              "      <td>1857.541667</td>\n",
              "      <td>5.648190</td>\n",
              "      <td>2201.384101</td>\n",
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              "      background-color: #434B5C;\n",
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              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
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              "          document.querySelector('#df-e05a6982-f2db-4708-9b28-0e67dff6f610 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-e05a6982-f2db-4708-9b28-0e67dff6f610');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "                   mase          mae      mape         rmse     smape\n",
              "MSTL           0.341926   709.932048  2.182804   892.888012  2.162832\n",
              "Prophet        1.107472  2299.413375  7.427523  2742.792022  7.789355\n",
              "SeasonalNaive  0.894653  1857.541667  5.648190  2201.384101  5.868604"
            ]
          },
          "execution_count": null,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "evaluate_performace(df_train, df_test, forecasts_test, models=['MSTL', 'Prophet', 'SeasonalNaive'])"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "5815d613-d820-4477-8c6f-f55801ffb396",
      "metadata": {
        "id": "5815d613-d820-4477-8c6f-f55801ffb396"
      },
      "source": [
        "In terms of accuracy, `Prophet` is not able to produce better forecasts than the `SeasonalNaive` model, however, the `MSTL` model improves `Prophet`'s forecasts by 69% (`MASE`)."
      ]
    },
    {
      "cell_type": "markdown",
      "id": "816c706e-cfa7-44a3-988d-748498bb794f",
      "metadata": {
        "id": "816c706e-cfa7-44a3-988d-748498bb794f"
      },
      "source": [
        "#### Comparison with NeuralProphet"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "3bWwFXUI1fkI",
      "metadata": {
        "id": "3bWwFXUI1fkI"
      },
      "source": [
        "`NeuralProphet` is the version of `Prophet` using deep learning. This model is also capable of handling different seasonalities so we will also use it as a benchmark. "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "64e19f95-b9b3-45d6-8d59-a23f343b3f3f",
      "metadata": {
        "colab": {
          "referenced_widgets": [
            "11fa469116be4799b54101a3a7469b14",
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            "67a8cda99b514986a615150f2942febf",
            "890f803e9ca347e3b61a122ac6012c02",
            "5045aa6d1f2b4e8e91de40067e1dfc3f",
            "08a61808ff6c4d25baea40937b7a8423",
            "38883b6aec794549a3518d18005c36bb",
            "5b9e9275aa5f424991ba41f2dc099708",
            "24e0866fafe54f02ad2df5add6969398",
            "c0ac09aea6ef4579bdc8cfb2dde1ef90",
            "94ebb139675d46e5940da49d20cd1606",
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            "71c7e263f95148cdbcac43e07989896c",
            "ef8481b076934b26bc593e7eed597bdc",
            "c6898ddb42fa4893adea4aacae5375c6",
            "75288d0038594c518e8a1e6948244cf0",
            "b6e461cbde0b454c8fda5b3fb5e64c7c",
            "1a83d5ee1fa44a14ab497f4d5654c440",
            "a09d7cf196094922958076a0f1784d55",
            "57e5c16676eb4580a35ec49d0f380adb"
          ]
        },
        "id": "64e19f95-b9b3-45d6-8d59-a23f343b3f3f",
        "outputId": "4d60a73a-ffce-4f20-ad83-8fd72ef56739"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "INFO - (NP.df_utils._infer_frequency) - Major frequency H corresponds to 99.973% of the data.\n",
            "INFO:NP.df_utils:Major frequency H corresponds to 99.973% of the data.\n",
            "INFO - (NP.df_utils._infer_frequency) - Dataframe freq automatically defined as H\n",
            "INFO:NP.df_utils:Dataframe freq automatically defined as H\n",
            "INFO - (NP.config.init_data_params) - Setting normalization to global as only one dataframe provided for training.\n",
            "INFO:NP.config:Setting normalization to global as only one dataframe provided for training.\n",
            "INFO - (NP.config.set_auto_batch_epoch) - Auto-set batch_size to 64\n",
            "INFO:NP.config:Auto-set batch_size to 64\n",
            "INFO - (NP.config.set_auto_batch_epoch) - Auto-set epochs to 76\n",
            "INFO:NP.config:Auto-set epochs to 76\n"
          ]
        },
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "11fa469116be4799b54101a3a7469b14",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "  0%|          | 0/162 [00:00<?, ?it/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "WARNING - (py.warnings._showwarnmsg) - /usr/local/lib/python3.7/dist-packages/torch/nn/modules/loss.py:922: UserWarning: Using a target size (torch.Size([64, 1, 1])) that is different to the input size (torch.Size([64, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.\n",
            "  return F.smooth_l1_loss(input, target, reduction=self.reduction, beta=self.beta)\n",
            "\n",
            "WARNING:py.warnings:/usr/local/lib/python3.7/dist-packages/torch/nn/modules/loss.py:922: UserWarning: Using a target size (torch.Size([64, 1, 1])) that is different to the input size (torch.Size([64, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.\n",
            "  return F.smooth_l1_loss(input, target, reduction=self.reduction, beta=self.beta)\n",
            "\n",
            "WARNING - (py.warnings._showwarnmsg) - /usr/local/lib/python3.7/dist-packages/torch/nn/modules/loss.py:922: UserWarning: Using a target size (torch.Size([324, 1, 1])) that is different to the input size (torch.Size([324, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.\n",
            "  return F.smooth_l1_loss(input, target, reduction=self.reduction, beta=self.beta)\n",
            "\n",
            "WARNING:py.warnings:/usr/local/lib/python3.7/dist-packages/torch/nn/modules/loss.py:922: UserWarning: Using a target size (torch.Size([324, 1, 1])) that is different to the input size (torch.Size([324, 1, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.\n",
            "  return F.smooth_l1_loss(input, target, reduction=self.reduction, beta=self.beta)\n",
            "\n",
            "INFO - (NP.utils_torch.lr_range_test) - lr-range-test results: steep: 3.89E-02, min: 2.68E-01\n",
            "INFO:NP.utils_torch:lr-range-test results: steep: 3.89E-02, min: 2.68E-01\n"
          ]
        },
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "94ebb139675d46e5940da49d20cd1606",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "  0%|          | 0/162 [00:00<?, ?it/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "INFO - (NP.utils_torch.lr_range_test) - lr-range-test results: steep: 5.03E-02, min: 1.82E-01\n",
            "INFO:NP.utils_torch:lr-range-test results: steep: 5.03E-02, min: 1.82E-01\n",
            "INFO - (NP.forecaster._init_train_loader) - lr-range-test selected learning rate: 5.81E-02\n",
            "INFO:NP.forecaster:lr-range-test selected learning rate: 5.81E-02\n",
            "Epoch[76/76]: 100%|██████████| 76/76 [02:17<00:00,  1.81s/it, SmoothL1Loss=0.00872, MAE=2.27e+3, RMSE=3.03e+3, Loss=0.00862, RegLoss=0]\n",
            "INFO - (NP.df_utils._infer_frequency) - Major frequency H corresponds to 99.973% of the data.\n",
            "INFO:NP.df_utils:Major frequency H corresponds to 99.973% of the data.\n",
            "INFO - (NP.df_utils._infer_frequency) - Defined frequency is equal to major frequency - H\n",
            "INFO:NP.df_utils:Defined frequency is equal to major frequency - H\n",
            "INFO - (NP.df_utils.return_df_in_original_format) - Returning df with no ID column\n",
            "INFO:NP.df_utils:Returning df with no ID column\n",
            "INFO - (NP.df_utils._infer_frequency) - Major frequency H corresponds to 95.833% of the data.\n",
            "INFO:NP.df_utils:Major frequency H corresponds to 95.833% of the data.\n",
            "INFO - (NP.df_utils._infer_frequency) - Defined frequency is equal to major frequency - H\n",
            "INFO:NP.df_utils:Defined frequency is equal to major frequency - H\n",
            "INFO - (NP.df_utils._infer_frequency) - Major frequency H corresponds to 95.833% of the data.\n",
            "INFO:NP.df_utils:Major frequency H corresponds to 95.833% of the data.\n",
            "INFO - (NP.df_utils._infer_frequency) - Defined frequency is equal to major frequency - H\n",
            "INFO:NP.df_utils:Defined frequency is equal to major frequency - H\n",
            "INFO - (NP.df_utils.return_df_in_original_format) - Returning df with no ID column\n",
            "INFO:NP.df_utils:Returning df with no ID column\n"
          ]
        },
        {
          "data": {
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              "      <th>ds</th>\n",
              "      <th>NeuralProphet</th>\n",
              "      <th>NeuralProphet-lo-90</th>\n",
              "      <th>NeuralProphet-hi-90</th>\n",
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              "      <td>PJM_Load_hourly</td>\n",
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              "      <td>23730.714844</td>\n",
              "      <td>20973.000000</td>\n",
              "      <td>26321.234375</td>\n",
              "    </tr>\n",
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              "      <th>3</th>\n",
              "      <td>PJM_Load_hourly</td>\n",
              "      <td>2001-12-31 04:00:00</td>\n",
              "      <td>23469.591797</td>\n",
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              "      <td>26097.132812</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>PJM_Load_hourly</td>\n",
              "      <td>2001-12-31 05:00:00</td>\n",
              "      <td>23887.208984</td>\n",
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              "                                                     [key], {});\n",
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              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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            ],
            "text/plain": [
              "         unique_id                  ds  NeuralProphet  NeuralProphet-lo-90  \\\n",
              "0  PJM_Load_hourly 2001-12-31 01:00:00   25015.931641         22304.785156   \n",
              "1  PJM_Load_hourly 2001-12-31 02:00:00   24125.677734         21462.275391   \n",
              "2  PJM_Load_hourly 2001-12-31 03:00:00   23730.714844         20973.000000   \n",
              "3  PJM_Load_hourly 2001-12-31 04:00:00   23469.591797         20735.953125   \n",
              "4  PJM_Load_hourly 2001-12-31 05:00:00   23887.208984         21221.152344   \n",
              "\n",
              "   NeuralProphet-hi-90  \n",
              "0         27442.351562  \n",
              "1         26571.785156  \n",
              "2         26321.234375  \n",
              "3         26097.132812  \n",
              "4         26459.939453  "
            ]
          },
          "execution_count": null,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "from neuralprophet import NeuralProphet\n",
        "\n",
        "neuralprophet = NeuralProphet(quantiles=[0.05, 0.95])\n",
        "init = time()\n",
        "neuralprophet.fit(df_train.drop(columns='unique_id'))\n",
        "future = neuralprophet.make_future_dataframe(df=df_train.drop(columns='unique_id'), periods=len(df_test))\n",
        "forecast_np = neuralprophet.predict(future)\n",
        "end = time()\n",
        "forecast_np = forecast_np[['ds', 'yhat1', 'yhat1 5.0%', 'yhat1 95.0%']]\n",
        "forecast_np.columns = ['ds', 'NeuralProphet', 'NeuralProphet-lo-90', 'NeuralProphet-hi-90']\n",
        "forecast_np.insert(0, 'unique_id', 'PJM_Load_hourly')\n",
        "forecast_np.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "NucFwS2T2Z8M",
      "metadata": {
        "id": "NucFwS2T2Z8M",
        "outputId": "0a6cb95f-d58f-46cd-f469-39ef59ae77e9"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Prophet Time: 2.39 minutes\n"
          ]
        }
      ],
      "source": [
        "time_np = (end - init) / 60\n",
        "print(f'Prophet Time: {time_np:.2f} minutes')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "hsxu4UMp2fdS",
      "metadata": {
        "id": "hsxu4UMp2fdS",
        "outputId": "ee1f5ddd-f6d3-4ba8-c6da-ded760295966"
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      "outputs": [
        {
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              "      <td>0.928628</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>NeuralProphet</td>\n",
              "      <td>2.393841</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-046a1e36-d7c2-4ea0-95b3-5c77f939b814')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-046a1e36-d7c2-4ea0-95b3-5c77f939b814 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-046a1e36-d7c2-4ea0-95b3-5c77f939b814');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "           model  time (mins)\n",
              "0           MSTL     0.425080\n",
              "1        Prophet     0.928628\n",
              "2  NeuralProphet     2.393841"
            ]
          },
          "execution_count": null,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "times = times.append({'model': 'NeuralProphet', 'time (mins)': time_np}, ignore_index=True)\n",
        "times"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "jXX-FrNG2112",
      "metadata": {
        "id": "jXX-FrNG2112"
      },
      "source": [
        "We observe that `NeuralProphet` requires a longer processing time than `Prophet` and `MSTL`."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "WU6lvLryagy1",
      "metadata": {
        "id": "WU6lvLryagy1"
      },
      "outputs": [],
      "source": [
        "forecasts_test = forecasts_test.merge(forecast_np, how='left', on=['unique_id', 'ds'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "LEN4NI2IahzF",
      "metadata": {
        "id": "LEN4NI2IahzF",
        "outputId": "1b274f48-85ae-4c5f-de94-b542415276b7"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1440x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "plot_forecasts(df_train, df_test, forecasts_test, models=['MSTL', 'NeuralProphet', 'Prophet'])"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "tH-plOgX2Rf7",
      "metadata": {
        "id": "tH-plOgX2Rf7"
      },
      "source": [
        "The forecasts graph shows that `NeuralProphet` generates very similar results to `Prophet`, as expected. "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "E0P2hcTGamWI",
      "metadata": {
        "id": "E0P2hcTGamWI",
        "outputId": "2b441f67-0d17-4c89-d85a-b18e00a0af75"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-e816dbb0-c592-4986-9346-247debfb050a\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "      <th></th>\n",
              "      <th>mase</th>\n",
              "      <th>mae</th>\n",
              "      <th>mape</th>\n",
              "      <th>rmse</th>\n",
              "      <th>smape</th>\n",
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              "      <th>MSTL</th>\n",
              "      <td>0.341926</td>\n",
              "      <td>709.932048</td>\n",
              "      <td>2.182804</td>\n",
              "      <td>892.888012</td>\n",
              "      <td>2.162832</td>\n",
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              "    <tr>\n",
              "      <th>NeuralProphet</th>\n",
              "      <td>1.089964</td>\n",
              "      <td>2263.060303</td>\n",
              "      <td>7.310210</td>\n",
              "      <td>2681.742759</td>\n",
              "      <td>7.651353</td>\n",
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              "      <th>Prophet</th>\n",
              "      <td>1.107472</td>\n",
              "      <td>2299.413375</td>\n",
              "      <td>7.427523</td>\n",
              "      <td>2742.792022</td>\n",
              "      <td>7.789355</td>\n",
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              "    <tr>\n",
              "      <th>SeasonalNaive</th>\n",
              "      <td>0.894653</td>\n",
              "      <td>1857.541667</td>\n",
              "      <td>5.648190</td>\n",
              "      <td>2201.384101</td>\n",
              "      <td>5.868604</td>\n",
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            "text/plain": [
              "                   mase          mae      mape         rmse     smape\n",
              "MSTL           0.341926   709.932048  2.182804   892.888012  2.162832\n",
              "NeuralProphet  1.089964  2263.060303  7.310210  2681.742759  7.651353\n",
              "Prophet        1.107472  2299.413375  7.427523  2742.792022  7.789355\n",
              "SeasonalNaive  0.894653  1857.541667  5.648190  2201.384101  5.868604"
            ]
          },
          "execution_count": null,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "evaluate_performace(df_train, df_test, forecasts_test, models=['MSTL', 'NeuralProphet', 'Prophet', 'SeasonalNaive'])"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "J8yEigSp2OGu",
      "metadata": {
        "id": "J8yEigSp2OGu"
      },
      "source": [
        "With respect to numerical evaluation, `NeuralProphet` improves the results of `Prohet`, as expected, however, `MSTL` improves over `NeuralProphet`'s foreacasts by 68% (`MASE`)."
      ]
    },
    {
      "cell_type": "markdown",
      "id": "b1d03909-9a59-4ac2-af4f-80893e417df6",
      "metadata": {
        "id": "b1d03909-9a59-4ac2-af4f-80893e417df6"
      },
      "source": [
        ":::{.callout-important}\n",
        "The performance of `NeuralProphet` can be improved using hyperparameter optimization, which can increase the fitting time significantly. In this example we show its performance with the default version.\n",
        ":::"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "Z5oEGUtC3TsM",
      "metadata": {
        "id": "Z5oEGUtC3TsM"
      },
      "source": [
        "## Conclusion"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "_a7baePs3mRo",
      "metadata": {
        "id": "_a7baePs3mRo"
      },
      "source": [
        "In this post we introduced `MSTL`, a model originally developed by [Kasun Bandara, Rob Hyndman and Christoph Bergmeir](https://arxiv.org/abs/2107.13462) capable of handling time series with multiple seasonalities. We also showed that for the PJM electricity load time series offers better performance in time and accuracy than the `Prophet` and `NeuralProphet` models."
      ]
    },
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      "cell_type": "markdown",
      "id": "klqSdOP43vfr",
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      },
      "source": [
        "## References\n",
        "\n",
        "- [Bandara, Kasun & Hyndman, Rob & Bergmeir, Christoph. (2021). “MSTL: A Seasonal-Trend Decomposition Algorithm for Time Series with Multiple Seasonal Patterns”](https://arxiv.org/abs/2107.13462).\n",
        "\n"
      ]
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