A multiple-model based adaptive control algorithm for very-short term wind power forecasting

A multiple-model adaptive control algorithm is developed for wind power forecasting based on three forecasting models for very-short term wind power prediction. The performance of the three models and the proposed approach is verified in a wind farm in North China. The case study indicates that the proposed approach can provide reasonable very-short term wind power prediction and outperforms the other three models on both accuracy and reliability.