def get_features_turbine(self, turbine, feature_window, horizon, padding = 0):

        timesteps = len(turbine.measurements) - (feature_window + horizon + padding - 1)

        features = zeros((timesteps, feature_window), dtype = float32)
        for t in range(padding, timesteps):
            features[t][0:feature_window] =\
                    turbine.measurements[cs][t:t + feature_window]

        return features
Evaluates the equation
dataset/ETHPy150Open cigroup-ol/windml/windml/mapping/power_mapping.py/PowerMapping.get_features_turbine--crossover with--dataset/ETHPy150Open OpenMDAO/OpenMDAO/openmdao/test/sellar.py/SellarDis1.solve_nonlinear