Big Data from Smart Grids

被引：0
|
作者：
Bagheri, Azam [1 ]
Bollen, Math H. J. [1 ]
Gu, Irene Y. H. [2 ]
机构：
[1] Lulea Univ Technol, Dept Elect Engn, Skelleftea, Sweden
[2] Chalmers Univ Technol, Signal Proc Grp, Gothenburg, Sweden
来源：
2017 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE EUROPE (ISGT-EUROPE) | 2017年
关键词：
Smart grid; Big Data; deep learning; power quality; voltage dip;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper gives a general introduction to "Big Data" in general and to Big Data in smart grids in particular. Large amounts of data (Big Data) contains a lots of information, however developing the analytics to extract such information is a big challenge due to some of the particular characteristics of Big Data. This paper investigates some existing analytic algorithms, especially deep learning algorithms, as tools for handling Big Data. The paper also explains the potential for deep learning application in smart grids.
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页数：5
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