The power big data-based energy analysis for intelligent community in smart grid

被引:4
|
作者
Zhang, Yiying [1 ]
Liang, Kun [1 ]
Liu, Ying [1 ]
He, Yeshen [2 ]
机构
[1] Tianjin Univ Sci & Technol, Coll Comp Sci & Informat Engn, Tianjin 300457, Peoples R China
[2] China Gridcom Co Ltd, Shenzhen 518031, Guangdong, Peoples R China
关键词
power big data; intelligent community; smart grid; power cloud; CLOUD;
D O I
10.1504/IJES.2019.099417
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Smart grid deploys large numbers of intelligent terminals, to monitor or control the operating status and improve the energy efficiency and functional applications. In this paper, we study the power efficiency problem of intelligent cell based on the power big data, and present the system architecture and key algorithm for the intelligent community and smart industrial park: 1) we propose a business intelligence architecture based on cloud computing to meet the requirements of efficient storage and analysis of massive data; 2) we also establish a multivariable, multi-dimensional intelligent electricity energy analysis model which improves the orderly power consumption efficiency; 3) also we present a novel parallel algorithm to achieve the data mining algorithms and data analysis algorithms, and solve the issue of processing speed of large-scale data analysis. The analysis results guided the efficient electricity, and increased the functions of the intelligent community and the intelligent life preliminarily.
引用
收藏
页码:295 / 305
页数:11
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