Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)

Research on Application of Artificial Intelligence in Power System

Authors
Yujun Pan
Corresponding Author
Yujun Pan
Available Online April 2017.
DOI
10.2991/icmmct-17.2017.292How to use a DOI?
Keywords
application, artificial intelligence, power system
Abstract

This paper briefly introduces the basic concept of artificial intelligence technology and points out its application in power system. The basic conceptions of artificial intelligence technology such as expert system, artificial neural network, fuzzy theory, genetic algorithm and so on are introduced briefly. From the practical point of view, the characteristics and problems of their application in power system fault diagnosis are analyzed. It is pointed out that the integrated use of a variety of artificial intelligence technology is the latest development trend of the application of artificial intelligence technology in power system, and put forward specific suggestions.

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 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
978-94-6252-318-0
ISSN
2352-5401
DOI
10.2991/icmmct-17.2017.292How 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  - Yujun Pan
PY  - 2017/04
DA  - 2017/04
TI  - Research on Application of Artificial Intelligence in Power System
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 1549
EP  - 1554
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.292
DO  - 10.2991/icmmct-17.2017.292
ID  - Pan2017/04
ER  -