Massive Intelligent Power Consumption Information Mining Research

被引:0
|
作者
Sun, H. L. [1 ]
Ye, J. [1 ]
Chen, X. M. [1 ]
Luo, H. F. [2 ]
机构
[1] State Grid Chongqing Elect Power Res Inst, Chongqing 401123, Peoples R China
[2] Chongqing Univ, Sch Elect Engn, Chongqing 40044, Peoples R China
关键词
Electric intelligent information; Price; Data mining; Cloud computing; Improved clustering algorithm;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
With the development of national unified strong smart grid construction, intelligent community are developing positively, which made various information systems comprehensive on-line. There will be a large number of electrical terminal equipment and new energy access in electricity consumption link at the end of the grid, which will surely generate a lot of basic electricity information and data. Electricity consumption data of smart home in intelligent community is the conduct result of the daily life of each family, which can exactly reflect the user's real information needs. The history electrical behavior of user is hidden behind the information. How to transform information into knowledge is the most important issue faced recently. This paper analyzed the intelligent power consumption data mining scope, built the framework of data mining based on cloud computing, proposed by the improved clustering algorithm for parallel data mining.
引用
收藏
页码:61 / 64
页数:4
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