Title :
Research and Application of Data Mining Technique in Power Plant
Author :
Li, Jian-qiang ; Wang, Song-Ling ; Niu, Cheng-Lin ; Liu, Ji-zhen
Author_Institution :
North China Electr. Power Univ., Beijing
Abstract :
As the development of electric industry, more and more real-time data is sent to databases by data acquisition system and large amounts of data are accumulated. Abundant knowledge exists in those historical data. It is meaning to analyze those historical data in electric industry and find useful knowledge and rules from the mass of data to provide better decision support and better adjustment guidance. The concept and steps of data mining is introduced in particular. Based on the characteristic of electric data, the data mining technique is introduced into the electric industry and the feasibility and necessity are discussed. The application of data mining in electric power industrial is discussed. The fault diagnosis and operation optimization based on data mining is researched in detail. The application of data mining in electric industry can guide the optimal operation based on historical data and improve the economic efficient in power plant.
Keywords :
data acquisition; data mining; electricity supply industry; power plants; power system analysis computing; power system economics; data acquisition system; data mining technique; electric industry; electric power industrial; fault diagnosis; operation optimization; power plant; Data acquisition; Data analysis; Data mining; Databases; Fault diagnosis; Industrial economics; Mining industry; Power generation; Power generation economics; Real time systems; Data mining; electric power industry; fault diagnosis; operation optimization;
Conference_Titel :
Computational Intelligence and Design, 2008. ISCID '08. International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3311-7
DOI :
10.1109/ISCID.2008.191