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Research on Performance Comprehensive Evaluation of Thermal Power Plant under Low-Carbon Economy

  • Xing Zhang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7389)

Abstract

A performance evaluation index system of thermal power plant is established under low carbon economy, and a comprehensive evaluation model based on principal component analysis (PCA), support vector machine (SVM) and quick sort algorithm is presented. Then experiments are made by using the real data from 17 thermal power plants, and the sequence of them is obtained ultimately. The results show that the model proposed has high accuracy, and comparing with BP network, SVM shows better performance in the condition of few data.

Keywords

performance evaluation thermal power plant PCA SVM binary tree quick sort algorithm 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Xing Zhang
    • 1
  1. 1.Department of Economy ManagementNorth China Electric Power UniversityBaodingChina

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