Research on development strategy for smart grid big data

被引：0

作者：

Zhang, Dongxia ^{[1
]}

Miao, Xin ^{[1
]}

Liu, Liping ^{[1
]}

Zhang, Yan ^{[2
]}

Liu, Keyan ^{[1
]}

机构：

[1] China Electric Power Research Institute, Haidian District, Beijing

[2] State Power Economic Research Institute, Changping District, Beijing

来源：

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2015年 / 35卷 / 01期

关键词：

Application fields; Big data; Smart grid; Technique road map; Technological system; Theoretical basis;

D O I：

10.13334/j.0258-8013.pcsee.2015.01.001

中图分类号：

学科分类号：

摘要：

Smart grid is one of the most potential fields for big data application. Some basic concepts of big data for smart grid were expounded in the paper, including data resources and characteristics, application value presentation of big data in smart grid, and difference in research approach between big data and traditional research method. The research and engineering application of big data in smart grid were overviewed. The theoretical basis and the technology system for big data were presented. The primary technical fields and potential application benefits of big data were discussed. Finally, the research projects and roadmap for smart grid big data were proposed. © 2015 Chin. Soc. for Elec. Eng..

引用

页码：2 / 12

页数：10

共 20 条

[1]

Liu Z., Smart Grid Technology, (2010)

[2]

Gantz J., Reinsel D., Extracting value from chaos, Proceedings of IDC iView, pp. 1-12, (2011)

[3]

The soft grid 2013-2020: Big data & utility analytics for smart grid-research excerpt, (2013)

[4]

Big data challenges for the grid:EPRI survey results and analysis Data analytics and applications demonstration newsletter, (2013)

[5]

The Whys, Whats, and Hows of Managing Data as an Asset, (2014)

[6]

Managing big data for smart grids and smart meters

[7]

Utilities and Big Data: A Seismic Shift is Beginning

[8]

National High Technology Research and Development Program of China (863 Program) 2015 application guide

[9]

Li D., Isomorphous relationship:the mathematic and philosophical foundations of big data

[10]

Chen J., View on the basic principle and create value of big data theory

← 1 2 →