Add to docstrings and headers

Author: SabineHaas

windpowerlib/power_curves.py

@@ -129,8 +129,8 @@ def wake_losses_to_power_curve(power_curve_wind_speeds, power_curve_values,
         `power_curve_wind_speeds`.
     wake_losses_method : String
         Defines the method for talking wake losses within the farm into
-        consideration. Options: 'power_efficiency_curve', 'constant_efficiency'.
-        Default: 'power_efficiency_curve'.
+        consideration. Options: 'power_efficiency_curve',
+        'constant_efficiency'. Default: 'power_efficiency_curve'.
     wind_farm_efficiency : Float or pd.DataFrame or Dictionary
         Efficiency of the wind farm. Either constant (float) or efficiency
         curve (pd.DataFrame or Dictionary) containing 'wind_speed' and
@@ -141,7 +141,7 @@ def wake_losses_to_power_curve(power_curve_wind_speeds, power_curve_values,
     Returns
     -------
     power_curve_df : pd.DataFrame
-        With wind farm efficiency reduced power curve. DataFrame has 
+        With wind farm efficiency reduced power curve. DataFrame has
         'wind_speed' and 'power' columns with wind speeds in m/s and the
         corresponding power curve value in W.
 

windpowerlib/turbine_cluster_modelchain.py

@@ -25,8 +25,9 @@ class TurbineClusterModelChain(ModelChain):
     wake_losses_method : String
         Defines the method for talking wake losses within the farm into
         consideration. Options: 'power_efficiency_curve',
-        'constant_efficiency', 'dena_mean', 'knorr_mean' or None. # TODO all curves in WPL
-        Default: 'dena_mean'.
+        'constant_efficiency', 'dena_mean', 'knorr_mean', 'dena_extreme1',
+        'dena_extreme2', 'knorr_extreme1', 'knorr_extreme2', 'knorr_extreme3'
+        or None. Default: 'dena_mean'.
     smoothing : Boolean
         If True the power curves will be smoothed before the summation.
         Default: True.
@@ -82,8 +83,9 @@ class TurbineClusterModelChain(ModelChain):
     wake_losses_method : String
         Defines the method for talking wake losses within the farm into
         consideration. Options: 'power_efficiency_curve',
-        'constant_efficiency', 'dena_mean', 'knorr_mean' or None. # TODO all curves in WPL
-        Default: 'dena_mean'.
+        'constant_efficiency', 'dena_mean', 'knorr_mean', 'dena_extreme1',
+        'dena_extreme2', 'knorr_extreme1', 'knorr_extreme2', 'knorr_extreme3'
+        or None. Default: 'dena_mean'.
     smoothing : Boolean
         If True the power curves will be smoothed before the summation.
         Default: True.

windpowerlib/wake_losses.py

@@ -1,5 +1,5 @@
 """
-The ``wake_losses`` module contains functions to TODO: add
+The ``wake_losses`` module contains functions for the modelling of wake losses.
 
 """