Research and Application of Data Mining Technique in Power Plant

• Published in: 2008 International Symposium on Computational Intelligence and Design Vol. 2; pp. 250 - 253
• Main Authors: Jian-qiang Li, Song-ling Wang, Cheng-lin Niu, Ji-zhen Liu
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-10-2008
• Subjects: Data acquisition; Data analysis; Data mining; electric power industry; Fault diagnosis; Industrial economics; Mining industry; operation optimization; Power generation; Power generation economics; Real time systems
• ISBN: 0769533116; 9780769533117
• DOI: 10.1109/ISCID.2008.191

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.