geodata.Cutout.wind
===================

.. py:method:: geodata.Cutout.wind(turbine: Union[str, dict], smooth: Union[bool, dict] = False, **params)

   Generate wind generation time-series

   - loads turbine dict based on passed parameters         (resource.get_windturbineconfig)
   - optionally, smooths turbine power curve                       (resource.windturbine_smooth)
   - calls convert_wind                                                            (convert.convert_cutout)

   :param turbine: Name of a turbine known by the reatlas client or a
                   turbineconfig dictionary with the keys 'hub_height' for the
                   hub height and 'V', 'POW' defining the power curve.
   :type turbine: Union[str, dict]
   :param smooth: If True smooth power curve with a gaussian kernel as
                  determined for the Danish wind fleet to Delta_v = 1.27 and
                  sigma = 2.s29. A dict allows to tune these values.
   :type smooth: Union[bool, dict]

   .. note::

      You can also specify all of the general conversion arguments
      documented in the `convert_cutout` function.

   .. rubric:: References

   [1] Andresen G B, Søndergaard A A and Greiner M 2015 Energy 93, Part 1
   1074 - 1088. doi:10.1016/j.energy.2015.09.071