Proceedings of the 2018 International Symposium on Communication Engineering & Computer Science (CECS 2018)

Application and Challenges of Big Data and Cloud Computing in Power Industry

Authors
Jinsong Zhang
Corresponding Author
Jinsong Zhang
Available Online July 2018.
DOI
10.2991/cecs-18.2018.23How to use a DOI?
Keywords
big data; cloud computing; data servers.; support system.
Abstract

The rapid development of informatization has led to an exponential explosion in the amount of information. As the basic energy support system for the world’s second largest economy, China has also entered the era of power big data. At the same time, in view of the development status of China’s power industry, high requirements are placed on management and data servers. Big data technology and cloud computing systems are used in the electric power industry by virtue of their own advantages. On the basis of introducing the concepts of big data and cloud computing, various applications of big data and cloud computing in power industry and the challenges they faced are analyzed. At the same time, the direction of future development of big data and cloud computing in the power industry is further expanded.

Copyright
© 2018, 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 2018 International Symposium on Communication Engineering & Computer Science (CECS 2018)
Series
Advances in Computer Science Research
Publication Date
July 2018
ISBN
10.2991/cecs-18.2018.23
ISSN
2352-538X
DOI
10.2991/cecs-18.2018.23How to use a DOI?
Copyright
© 2018, 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  - Jinsong Zhang
PY  - 2018/07
DA  - 2018/07
TI  - Application and Challenges of Big Data and Cloud Computing in Power Industry
BT  - Proceedings of the 2018 International Symposium on Communication Engineering & Computer Science (CECS 2018)
PB  - Atlantis Press
SP  - 119
EP  - 122
SN  - 2352-538X
UR  - https://doi.org/10.2991/cecs-18.2018.23
DO  - 10.2991/cecs-18.2018.23
ID  - Zhang2018/07
ER  -