An approach to smart grid online data mining based on cloud computing

被引：0

作者：

Wang Y. ^{[1
]}

Chen S. ^{[1
]}

机构：

[1] Electric Power Research Institute, Duangdong Power Grid Co., Ltd, Guangzhou

来源：

International Journal of Simulation: Systems, Science and Technology | 2016年 / 17卷 / 02期

关键词：

Cloud computing; Data mining; Hadoop; Map reduce; Smart grid;

D O I：

10.5013/IJSSST.a.17.02.17

中图分类号：

学科分类号：

摘要：

Smart Grid as a research focus and trends of power system is grid operation and management of the central nervous system, through various devices integrated service bus, integrated analysis of the information, improve grid efficiency and reliability. We consider the construction of smart grid background, combined with the actual situation and the needs of the power grid scheduling, proposed the use of data mining and integrated information technology platform to build applications systems programs to address the large number of scattered islands of information data and technical bottlenecks form makes it difficult to fast from data sources to extract valuable knowledge to effectively support questions grid scheduling decisions. Grid scheduling system construction business analysis to eliminate information silos, mining information from a large number of business data and extract knowledge, support intelligent scheduling business analysis and decision making. © 2016 UK Simulation Society. All rights reserved.

引用

页码：17.1 / 17.5

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