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Author: SabineHaas

windpowerlib/wind_farm.py

@@ -185,7 +185,7 @@ def assign_power_curve(self, wake_losses_method='power_efficiency_curve',
         # Initialize data frame for power curve values
         df = pd.DataFrame()
         for turbine_type_dict in self.wind_turbine_fleet:
-            # Check if all needed parameters are available
+            # Check if all needed parameters are available and/or assign them
             if smoothing:
                 if (standard_deviation_method == 'turbulence_intensity' and
                         turbulence_intensity is None):