Based on the problems of the current large quantity of output data from the power system and the poor data application ability,a new data mining method is proposed.This method constructs an improved data mining clustering algorithm model.The data model can realize the data analysis,calculation and appli-cation of different states in the application process of the power system through FCM clustering algorithmn model,and builds a regression algorithm model to predict the data information after classification.This method realizes data mining and application by constructing power system application model and fusing vari-ous data information.The experiment,this research method has strong classification ability and high predic-tion accuracy,which can be generalized for use.
关键词
数据挖掘/FCM聚类算法模型/回归算法模型/预测精度/电力系统
Key words
data mining/FCM clustering algorithm model/regression algorithm model/prediction accura-cy/power system
维普
万方数据