The main problems of line loss management in transformer area are low efficiency of rectifying abnormal line loss

poor effect of reducing line loss

difficulty of monitoring

and so on. In order to solve these problems

this paper utilizes clustering algorithm and correlation analysis to integrate and optimize static and dynamic data obtained from SG186 system and power user electric energy data acquire system

which realizes data deep-mining. The line loss controlling ladder model

intelligent evaluation and diagnostic model of line loss

and line loss governance matching library are established. The assistant APP "Intelligent Diagnostic" is developed for line loss management

which realizes quick diagnosis and intelligent control of line loss in each transformer area.