Research on Detection of Abnormal Power Values in New Energy Generation Based on Improved Decision Tree
There are many and complex data on the power generation of new energy.In order to detect abnormal values of new energy power generation and take corresponding measures in a timely manner to ensure the stable operation of the power generation system,a new energy power generation abnormal value detection method based on an improved decision tree is proposed.Refine the differentiation of new energy generation power data,and construct a new energy generation power outlier detection model based on an improved decision tree,using this model to detect new energy generation power outliers.The experimental results indicate that the detection accuracy of this research method is high and practical.
improving decision treesnew energy generationabnormal power valuedetection methoddistribution characteristics
NETL
NSTL
万方数据
