Proceedings of the 2016 International Conference on Energy, Power and Electrical Engineering

Electric Power Big Data and Its Applications

Authors
Defu Cai, Hongxun Tian, Yi Wang, Honggang Wang, Haifeng Zheng, Kan Cao, Chu Zhou
Corresponding Author
Defu Cai
Available Online October 2016.
DOI
https://doi.org/10.2991/epee-16.2016.39How to use a DOI?
Keywords
big data; electric power big data; application scenarios
Abstract

With the comprehensive construction of smart grid, electric power data resources rise up sharply. Make full use of electric power big data can provide an effective way for the safe operation of power grid and high-quality power supply. In this paper, the electric power enterprises' big data was divided into three classes. The source of electric power big data was introduced. The "4V" and "3E" features of electric power big data were presented. Then the current situation of electric power big data was reviewed from the aspects of research and applications as well as research team building, and the engineering applications are emphatically introduced. Finally, the application scenarios of electric power big data were analyzed by three typical cases.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Energy, Power and Electrical Engineering
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
10.2991/epee-16.2016.39
ISSN
2352-5401
DOI
https://doi.org/10.2991/epee-16.2016.39How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Defu Cai
AU  - Hongxun Tian
AU  - Yi Wang
AU  - Honggang Wang
AU  - Haifeng Zheng
AU  - Kan Cao
AU  - Chu Zhou
PY  - 2016/10
DA  - 2016/10
TI  - Electric Power Big Data and Its Applications
BT  - Proceedings of the 2016 International Conference on Energy, Power and Electrical Engineering
PB  - Atlantis Press
SP  - 181
EP  - 184
SN  - 2352-5401
UR  - https://doi.org/10.2991/epee-16.2016.39
DO  - https://doi.org/10.2991/epee-16.2016.39
ID  - Cai2016/10
ER  -