Rename standard deviation method

Author: SabineHaas

windpowerlib/power_curves.py

@@ -32,7 +32,7 @@ def smooth_power_curve(power_curve_wind_speeds, power_curve_values,
         Width of the moving block. Default: 0.5.
     standard_deviation_method : String
         Method for calculating the standard deviation for the gaussian
-        distribution. Options: 'turbulence_intensity', 'Norgaard', 'Staffell'.
+        distribution. Options: 'turbulence_intensity', 'Norgaard', 'Staffell_Pfenninger'.
         Default: 'turbulence_intensity'.
 
     Other Parameters
@@ -80,7 +80,7 @@ def smooth_power_curve(power_curve_wind_speeds, power_curve_values,
             os.path.join(os.path.dirname(__file__),
                          'data/Norgaard_standard_deviation.csv'), index_col=0)
         normalized_standard_deviation = 0.09
-    elif standard_deviation_method == 'Staffell':
+    elif standard_deviation_method == 'Staffell_Pfenninger':
         normalized_standard_deviation = 0.2
     # Initialize list for power curve values
     smoothed_power_curve_values = []
@@ -99,7 +99,7 @@ def smooth_power_curve(power_curve_wind_speeds, power_curve_values,
         # Get standard deviation for gaussian filter
         standard_deviation = (
             (power_curve_wind_speed * normalized_standard_deviation + 0.6)
-            if standard_deviation_method is 'Staffell'
+            if standard_deviation_method is 'Staffell_Pfenninger'
             else power_curve_wind_speed * normalized_standard_deviation)
         # Get the smoothed value of the power output
         smoothed_value = sum(

windpowerlib/turbine_cluster_modelchain.py

@@ -37,7 +37,7 @@ class TurbineClusterModelChain(object):
         Default in :py:func:`~.power_curves.smooth_power_curve`: 0.5.
     standard_deviation_method : String, optional
         Method for calculating the standard deviation for the gaussian
-        distribution. Options: 'turbulence_intensity', 'Norgaard', 'Staffell'.
+        distribution. Options: 'turbulence_intensity', 'Norgaard', 'Staffell_Pfenninger'.
         Default in :py:func:`~.power_curves.smooth_power_curve`:
         'turbulence_intensity'.
     density_correction_order : String
@@ -72,7 +72,7 @@ class TurbineClusterModelChain(object):
         Default in :py:func:`~.power_curves.smooth_power_curve`: 0.5.
     standard_deviation_method : String, optional
         Method for calculating the standard deviation for the gaussian
-        distribution. Options: 'turbulence_intensity', 'Norgaard', 'Staffell'.
+        distribution. Options: 'turbulence_intensity', 'Norgaard', 'Staffell_Pfenninger'.
         Default in :py:func:`~.power_curves.smooth_power_curve`:
         'turbulence_intensity'.
     power_output : pandas.Series