Using Python Programming to Model Weber Distribution Fitting
The relationship between wind power generation and wind speed has always been a hot research topic for practitioners in the power industry,and researchers are actively exploring the relationship between wind power generation and wind speed.In this study,relevant personnel used Python programming technology to calculate the wind speed frequency distribution of the wind field.Due to the involvement of a large number of random and continuous variables in the research process,which conform to the characteristics of the Weber distribution,the researchers introduced the least squares method to fit the wind frequency data with the Weber distribution,and obtained the specific values of c and k.
万方数据
维普
