Enabling the Big Data Analysis in the Smart Grid

被引：0

作者：

Luo, Fengji ^{[1
,2
]}

Dong, Zhao Yang ^{[3
]}

Zhao, Junhua ^{[1
]}

Zhang, Xin ^{[3
]}

Kong, Weicong ^{[3
]}

Chen, Yingying ^{[1
]}

机构：

[1] Ctr Intelligent Elect Networks, Newcastle, NSW, Australia

[2] Chongqing Univ, Fac Software Engn, Chongqing, Peoples R China

[3] Univ Sydney, Sydney, NSW 2006, Australia

来源：

2015 IEEE POWER & ENERGY SOCIETY GENERAL MEETING | 2015年

关键词：

smart grid; big data; cloud computing; data mining;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Smart grid has become the most complicated interconnected system in human society. With the advanced sensor infrastructure, the smart grid will continuously generate unprecedented data volume. This paper gives an overview discussion of the big data management & analysis in the smart grid. Firstly, this paper identifies the basic requirements of the big data analysis in the smart grid. Secondly, this paper introduces some emerging technologies in multiple domains which can be utilized to develop the big data applications in the smart grid. Thirdly, this paper summarizes some promisingly big data application scenarios in the smart grid.

引用

页数：5

共 24 条

[1] Recent Advances in Homomorphic Encryption [J].

Aguilar-Melchor, Carlos ;

Fau, Simon ;

Fontaine, Caroline ;

Gogniat, Guy ;

Sirdey, Renaud .

IEEE SIGNAL PROCESSING MAGAZINE, 2013, 30 (02) :108-117

[2]

[Anonymous], P IEEE 35 ANN S

[3]

[Anonymous], P IEEE 23 INT C DAT

[4]

[Anonymous], P ACM SIGMOD

[5]

[Anonymous], 2000, P 6 ANN INT C MOB CO

[6]

[Anonymous], P INT C SMART GRID C

[7]

[Anonymous], 2011, PROC 10 INT C AUTONO

[8]

[Anonymous], P 6 INT C DAT MIN

[9]

[Anonymous], CLOUD COMPTUING PRIN

[10]

[Anonymous], 2012, P IEEE PES GEN M SAN

← 1 2 3 →