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

机译:低碳经济下火电厂绩效综合评价研究

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摘要

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.
机译:建立了低碳经济下的火电厂绩效评价指标体系,提出了基于主成分分析(PCA),支持向量机(SVM)和快速排序算法的综合评价模型。然后,利用来自17个火力发电厂的实际数据进行实验,并最终获得它们的顺序。结果表明,所提出的模型具有较高的精度,并且与BP网络相比,支持向量机在数据少的情况下表现出更好的性能。

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