DocumentCode :
2020296
Title :
Energy Loss Analysis Based on Fuzzy Association Rule Mining in Power Plant
Author :
Li, Jian-qiang ; Niu, Cheng-Lin ; Gu, Jun-jie ; Liu, Ji-zhen
Author_Institution :
North China Electr. Power Univ., Beijing
Volume :
1
fYear :
2008
fDate :
17-18 Oct. 2008
Firstpage :
186
Lastpage :
189
Abstract :
The rational determination of operation optimization values is very important to economical analysis and operation optimization in power plant. Based on the correlation of operation data, the economical analysis and operation optimization based on data mining was proposed to guide the operation optimization. The basic structure of economical analysis and operation optimization based on data mining was established and the fuzzy association rule mining was introduced to determine the operation optimization value. The deviation analysis and optimal operation guidance were carried out based on the optimal values obtained by data mining to guide the optimal operation in power plant. Experiment results show that the economical analysis and operation optimization based on data mining can guide the operator to make better adjustments and improve the economic efficiency greatly in power plant.
Keywords :
data mining; power system analysis computing; power system economics; thermal power stations; data mining; economical analysis; energy loss analysis; fuzzy association rule mining; operation optimization; power plant; Association rules; Data acquisition; Data mining; Energy loss; Environmental economics; Fuzzy sets; Performance analysis; Power generation; Power generation economics; Power system economics; Data Mining; Energy Loss Analysis; Fuzzy Association Rule Mining; Operation Optimization; Power Plant;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design, 2008. ISCID '08. International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3311-7
Type :
conf
DOI :
10.1109/ISCID.2008.184
Filename :
4725587
Link To Document :
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