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.
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© 2012 Springer-Verlag Berlin Heidelberg
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Zhang, X. (2012). Research on Performance Comprehensive Evaluation of Thermal Power Plant under Low-Carbon Economy. In: Huang, DS., Jiang, C., Bevilacqua, V., Figueroa, J.C. (eds) Intelligent Computing Technology. ICIC 2012. Lecture Notes in Computer Science, vol 7389. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31588-6_15
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DOI: https://doi.org/10.1007/978-3-642-31588-6_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31587-9
Online ISBN: 978-3-642-31588-6
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