新供电服务指挥系统诉求响应数据自动挖掘方法

Automatic Data Mining Method for Demand Response of New Power Supply Service Command System

传统的供电服务指挥系统诉求响应数据挖掘方法挖掘耗时过长,且挖掘数据量较少。为解决上述问题,本研究提出了一种新的响应数据自动挖掘方法。首先分析不同的响应数据特性,并明确响应数据位置,完成信息分析。然后通过主动检测与被动检测两种方式建立诉求响应数据自动挖掘模型,选用小波变换技术得到数据源,并获取相应的数据特征,经数据信号处理后,利用供电服务系统内部的回升状态网络实现模型信息挖掘。实验结果表明,本方法能够有效缩短挖掘时间、提高数据挖掘量。

The traditional data mining method of power supply service command system demands response takes too long time and mining data is less.In order to solve the above problems,a new automatic mining method for response data is proposed.First,it analyzes the characteristics of different response data,and specifies the location of response data to complete the information analysis.Then,the automatic mining model of demand response data is established through active detection and passive detection,the data source is obtained by using wavelet transform technology,and the corresponding data characteristics are obtained.After the data signal processing,the recovery state network within the power supply service system is used to realize the model information mining.Experimental results show that the proposed method can effectively shorten the mining time and increase the data mining volume.