RESEARCH ON NUMERICAL MODEL ERROR-CORRECTION TECHNIQUES FOR OFFSHORE WIND POWER
In view of the limited accuracy of the existing numerical model prediction data,this paper combined with the actual wind measurement data of several places in the Guangdong sea area,respectively using convolutional long short-term memory network,integrated learning and other machine learning frameworks to establish error correction models,and to verify and analyze the applicability of each model.On this basis,a cost function based on trigonometric function law which is more suitable for wind direction error calculation is proposed.The results show that the AdaBoost and GBDT models can achieve excellent results in the correction of wind speed and wind direction variables.
offshore wind powernumerical modelerror correctionmachine learningboosting model
NETL
NSTL
万方数据
