Data processing method and system suitable for wind power generation

The invention relates to the technical field of data processing, in particular to a data processing method and system suitable for wind power generation, and the method comprises the steps: obtaining the wind speed data and power data of a wind turbine generator; obtaining the distribution direction disorder degree of neighborhood data points of the target data points in the scatter diagram, obtaining the accumulation degree of the neighborhood data points of each target data point in the scatter diagram, obtaining the membership influence factors of the target data points belonging to each clustering center, carrying out C-means clustering, and obtaining normal data points. According to the method, the membership influence factor of the mean value clustering algorithm is adaptively acquired, so that when the mean value clustering algorithm is utilized to perform data point clustering based on the membership influence factor, the classification precision is improved, and accurate acquisition of normal data po