Month-Ahead Wind Power Deterministic Prediction Based on Combination Method

A new method for month-ahead wind power deterministic prediction based on combination method is proposed. Mathematical and statistical methods are applied to reduce the dimensionality of a large amount of historical weather data and wind power data. Then, the fitting relationship between these two variables is obtained by cubic spline interpolation function method. By combining the fitting relationship with future weather forecast data, future wind power forecast results can be obtained finally. The accuracy and effectiveness of the month-ahead wind power forecasting model proposed in this paper have been verified by comparing the actual wind power data and forecast data of a wind farm in Shenyang City, Liaoning Province for 4 months.