This paper aims to solve the problem of electricity consumption behavior analysis of power users,and proposes a method based on big data analysis.Through multi-source data fusion and machine learning technology,the characteris-tics of power users'electricity consumption behavior are accurately identified.Experimental results show that the proposed method can effectively distinguish the power consumption patterns of different types of users,and provides strong support for accurate load forecasting and demand-side management of power system.
关键词
电力用户/用电行为/大数据分析
Key words
power users/electricity consumption behavior/big data analytics
维普
万方数据