flasc.model_fitting.floris_tuning.select_best_wake_model_parameter#
- flasc.model_fitting.floris_tuning.select_best_wake_model_parameter(floris_results, scada_results, value_candidates, ax=None)[source]#
Determine the best fit with respect to squared error.
- Parameters:
floris_results (np.ndarray) -- The FLORIS wake losses
scada_results (np.ndarray) -- The SCADA wake losses
value_candidates (np.ndarray) -- The parameter values
ax (Axes) -- The axes to plot on. If None, no plot is made. Default is None.
- Returns:
best fit parameter value
- Return type:
float