Proceedings of the International Conference on Computer Networks and Communication Technology (CNCT 2016)

Study on Solving On-line Decision Making System of Power System Based on Big Data

Authors
Qi-yan DAI
Corresponding Author
Qi-yan DAI
Available Online December 2016.
DOI
https://doi.org/10.2991/cnct-16.2017.68How to use a DOI?
Keywords
Big Data, Power System, Stability, Strategy, On-line decision making system
Abstract

The development of power big data technology provides the new opportunity for solving the problems in many technical fields of electric power system. This paper discusses the accuracy and implementation issues for solving on-line decision making system based on power big data. First, we elaborate the two existing technical contact and basic linking manner, emphasizing advantages on solving fast data analysis technology based on big data. In addition, we discuss technical difficulties and unable large-scale application of on-line decision making system. Finally, the application of electric big data that may bring new solutions to solve the on-line decision making system is illustrated. The study establishes the foundation for engineering applications of on-line decision making system.

Copyright
© 2017, 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 International Conference on Computer Networks and Communication Technology (CNCT 2016)
Series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-301-2
ISSN
2352-538X
DOI
https://doi.org/10.2991/cnct-16.2017.68How to use a DOI?
Copyright
© 2017, 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  - Qi-yan DAI
PY  - 2016/12
DA  - 2016/12
TI  - Study on Solving On-line Decision Making System of Power System Based on Big Data
BT  - Proceedings of the International Conference on Computer Networks and Communication Technology (CNCT 2016)
PB  - Atlantis Press
SP  - 486
EP  - 492
SN  - 2352-538X
UR  - https://doi.org/10.2991/cnct-16.2017.68
DO  - https://doi.org/10.2991/cnct-16.2017.68
ID  - DAI2016/12
ER  -