Cubic spline interpolation with optimal end conditions

Summary: Accurate forecasting of wind power is crucial for effective power systems, but the uncertainty and fluctuation of wind power pose challenges. This study proposes a method to handle wind power uncertainty by conducting outlier detection and data reconstruction before utilizing a probability density forecasting method to improve accuracy and effectiveness.