Wind profile quality control based on modified grey residual algorithm

In order to study quality control problem of wind profile data in time domain, a method of neural network was used to correct residual error of grey algorithm. Back propagation neural network was used to train grey residual error of historical wind profile data, and the quality control data of wind profile was obtained. After theoretical analysis and experimental verification, the results show that the algorithm can effectively reduce residual error and improve the accuracy of wind profile data. The result is helpful for quality control of wind profile.