The influence of wind direction on short-term wind power prediction: A case study in north China

This paper investigates the impact of wind direction on the prediction of wind power. A novel short-term wind power forecasting model is developed based on the data of wind speed, wind direction, wind farm output and numerical weather prediction. Statistical methods are adopted for the data analysis. To show the effectiveness, the approach is applied on a wind farm in north China. The average RMSE is reduced by 41.3% through the application of the proposed approach.