数据挖掘技术在电力负荷管理系统中的应用

将数据挖掘技术应用到电力负荷管理系统中,设计出电力负荷数据挖掘系统,此系统包括数据预处理模块,数据挖掘模块和数据挖掘结果显示模块。根据电力系统数据的特点,提出采用多元线形回归模型进行数据挖掘的方法,并成功运用了实践中实例表明该数据挖掘系统能够对电力负荷值进行有效的预测,提高用电生产管理方面信息的准确性和及时性,从而保证供电与用电的稳定。

Application of Data Mining Techniques in Power Load Management System

This paper applies data mining technology into the power load management system,and designs the power load management mining system.This system includes data preprocessing module,data mining module and data mining result display module.According to the power system data characteristic,the way of using multiple linear regression model to implement data mining is put forward and realized in practice.In this examples,it is indicated that the defect can be forecasted effectively in the data mining system,the accuracy of information on electricity production management is improved,the stable supply of electricity is guaranteed.