Miso
=========================

.. py:module:: gridstatus.miso


Module Contents
---------------

Classes Summary
~~~~~~~~~~~~~~~

.. autoapisummary::

   gridstatus.miso.MISO





Contents
~~~~~~~~~~~~~~~~~~~
.. py:class:: MISO

   Bases: :py:obj:`gridstatus.base.ISOBase`

   Midcontinent Independent System Operator (MISO)


   **Attributes**

   .. list-table::
      :widths: 15 85
      :header-rows: 0

      * - **BASE**
        - https://api.misoenergy.org/MISORTWDDataBroker/DataBrokerServices.asmx
      * - **default_timezone**
        - US/Central
      * - **hubs**
        - ['ILLINOIS.HUB', 'INDIANA.HUB', 'LOUISIANA.HUB', 'MICHIGAN.HUB', 'MINN.HUB', 'MS.HUB', 'TEXAS.HUB', 'ARKANSAS.HUB']
      * - **interconnection_homepage**
        - https://www.misoenergy.org/planning/generator-interconnection/GI_Queue/
      * - **iso_id**
        - miso
      * - **markets**
        - None
      * - **name**
        - Midcontinent ISO


   **Methods**

   .. autoapisummary::
      :nosignatures:

      gridstatus.miso.MISO.get_fuel_mix
      gridstatus.miso.MISO.get_interconnection_queue
      gridstatus.miso.MISO.get_lmp
      gridstatus.miso.MISO.get_load
      gridstatus.miso.MISO.get_load_forecast

   .. py:method:: get_fuel_mix(date, verbose=False)

      Get fuel mix in 5 minute intervals for a provided day

      Arguments:
          date (datetime or str): "latest", "today", or an object that can be parsed as a datetime for the day to return data.

          start (datetime or str): start of date range to return. alias for `date` parameter. Only specify one of `date` or `start`.

          end (datetime or str): "today" or an object that can be parsed as a datetime for the day to return data. Only used if requesting a range of dates.

          verbose (bool): print verbose output. Defaults to False.


      Returns:
          pd.Dataframe: dataframe with columns: Time and columns for each fuel type


   .. py:method:: get_interconnection_queue(verbose=False)

      Get the interconnection queue

      Returns:
          pd.DataFrame -- Interconnection queue


   .. py:method:: get_lmp(date, market: str, locations: list = None, verbose=False)

      Supported Markets:

      REAL_TIME_5_MIN (FiveMinLMP)
      DAY_AHEAD_HOURLY (DayAheadExPostLMP)


   .. py:method:: get_load(date, verbose=False)


   .. py:method:: get_load_forecast(date, verbose=False)