DocumentCode
2097008
Title
A Study of Working Conditions Based on Cluster Analysis
Author
Liu BaoLing ; He Jun ; Liu Guangming
Author_Institution
Dept. of Electr. & Electron. Eng., Nanchang Inst. of Technol., Nanchang, China
fYear
2010
fDate
28-31 March 2010
Firstpage
1
Lastpage
4
Abstract
Working conditions are essential to the economy and security of power plant. This paper proposes a new method, based on the actual operation data of a power plant and a improved k-means algorithm, for conditions analysis and optimizing operation. The research result demonstrates that this method may effectively find the valuable and potential knowledge among massive data and provide guidance to the operators.
Keywords
power system economics; power system security; statistical analysis; thermal power stations; cluster analysis; improved k-means algorithm; power plant economy; power plant security; working conditions; Algorithm design and analysis; Clustering algorithms; Data analysis; Databases; Distributed control; Employee welfare; Helium; Optimized production technology; Power engineering and energy; Power generation;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
Conference_Location
Chengdu
Print_ISBN
978-1-4244-4812-8
Electronic_ISBN
978-1-4244-4813-5
Type
conf
DOI
10.1109/APPEEC.2010.5448568
Filename
5448568
Link To Document