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Wind speed interpolation and prediction method based on functional space variable coefficient model

ActiveCN120316491Bvalid descriptionInterpolation prediction worksAlgorithmData aggregator
This invention discloses a wind speed interpolation prediction method based on a functional spatial variable coefficient model. By constructing a functional spatial variable coefficient mixed effect model, the method uses a spatially dependent Matérn distribution family spatial correlation function to characterize spatial correlation in the principal component scores, fully drawing on information from geographically adjacent locations to analyze the spatial correlation of wind speeds between wind turbines. The spatial variable coefficient model can more effectively describe this spatial variation pattern and eliminate large-scale biases caused by data aggregation, thereby improving the accuracy of wind speed prediction. In addition, this invention can also effectively perform interpolation prediction for wind speed at any spatial location within the range.
Owner:CHONGQING UNIV