Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering

2015 International Conference on Intelligent Systems Research and Mechatronics Engineering

📍Zhengzhou, China🗓️ 11-13 April 2015

The power quality intelligent monitoring system based on cloud computing

Authors
Jie Bai, Changpo Song
Corresponding Author
Jie Bai
Available Online April 2015.
DOI
10.2991/isrme-15.2015.61How to use a DOI?
Keywords
Cloud Computing; power quality; dynamic expansion
Abstract

In the Smart Grid environment, power quality monitoring system is required to achieve wide-area, panoramic, massive, real-time, accurate and reliable data monitoring, which is a challenge to the traditional storage model and management of power quality monitoring system. "Cloud Computing" technology-based power quality monitoring system can ensure stable operation of the monitoring system, while meeting the dynamic expansion capabilities, high reliability and real-time.

Copyright
© 2015, 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 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
Series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
978-94-62520-59-2
ISSN
1951-6851
DOI
10.2991/isrme-15.2015.61How to use a DOI?
Copyright
© 2015, 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  - Jie Bai
AU  - Changpo Song
PY  - 2015/04
DA  - 2015/04
TI  - The power quality intelligent monitoring system based on cloud computing
BT  - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
PB  - Atlantis Press
SP  - 262
EP  - 266
SN  - 1951-6851
UR  - https://doi.org/10.2991/isrme-15.2015.61
DO  - 10.2991/isrme-15.2015.61
ID  - Bai2015/04
ER  -