Power load clustering analysis method based on correlation coefficient improved K-means

The invention discloses a power load clustering analysis method based on correlation coefficient improved K-means in the technical field of power load clustering analysis, and the method comprises thesteps: preprocessing load data through wavelet transformation under the condition that the power load data often contains an abnormal value; therefore, obviously wrong values and smooth data in the load data are eliminated, and meanwhile, dimensionality reduction is performed on the data by adopting a principal component analysis method, so that the calculation complexity during clustering is reduced, and the clustering efficiency is improved; clustering analysis on the power load data is facilitated, information such as power consumption and power utilization rules of users can be accuratelyobtained through analysis, and convenience is brought to a power distribution department to reasonably distribute electric energy in the future, so that the purposes of improving the working efficiency of enterprises and savi