Research on Application of High - efficiency Data Mining to Electric Power Data under Big Data

被引：0

作者：

Ge, Weichun ^{[1
]}

Lei, Zhenjiang ^{[1
]}

Li, Zhao ^{[1
]}

Hu, Xiaolei ^{[1
]}

Liu, Jinyuan ^{[1
]}

机构：

[1] State Grid Liaoning Elect Power Co Ltd, Shenyang 110006, Liaoning, Peoples R China

来源：

PROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ARTIFICIAL INTELLIGENCE (CAAI 2017) | 2017年 / 134卷

关键词：

electric power information; large data; data analysis and mining; smart grid; feature extraction;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

With the continuous construction of smart grid, power companies produce, transport, sales and management and management have a mass storage, heterogeneous forms, real-time processing of large amounts of data. How to make full use of and analyze these data, rapid access to valuable information of current electric power big data processing is an urgent need to break through the difficulty. On the analysis of the current electricity big data, on the basis of the status quo of the application research on building the intelligent power big data mining technology efficient analysis, from the power of big data analytics integration management, data analysis, data processing, data show four aspects discussed in accordance with the electric power enterprise development needs large data key technology choice. Big data analysis technology in the wide application of electric power industry will bring the change of the industry, the development of smart grid to a new stage.

引用

页码：400 / 405

页数：6

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