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
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;
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
DOI :
10.1109/APPEEC.2010.5448568
