基于时间序列数据挖掘的用户负荷曲线分析方法

User Load Curve Analysis Method Based on Time Series Data Mining

文中对时间序列数据挖掘的基本定义、应用任务展开了分析,讨论了一种基于时间序列数据挖掘的用户负荷曲线分析方法,具体包括原始数据采集、数据预处理分析、负荷数据降维处理、负荷数据重表达、提取负荷曲线形态、负荷曲线聚类分析等,并对用户负荷曲线影响因素进行了系统化分析,以此来积累相应的分析经验,为用户负荷管理活动提供参考。

This paper analyzes the basic definition and application tasks of time series data mining,and discusses a user load curve analysis method based on time series data mining,including original data source collection,data preprocessing analysis,load data dimensionality reduction processing,load data re expression,extraction of load curve morphology,load curve cluster analysis,etc.,and systematically analyzes the influencing factors of user load curve,in order to accumulate corresponding analysis experience and provide reference for user load management activities.