Forecasting of turbine heat rate with online least squares support vector machine based on gravitational search algorithm-Reference-Cited by-同舟云学术

Forecasting of turbine heat rate with online least squares support vector machine based on gravitational search algorithm

Published:2013-02 Issue: Volume:39 Page:34-44
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Zhang Weiping,Niu Peifeng,Li Guoqiang,Li Pengfei

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference56 articles.

1. Model for the turbine heat rate based on the support vector regression;Lei;Journal of Power Engineering,2007

2. Derivation of characteristic equations for 300MW extraction condensing turbine sets with multivariable linear regressing;Jintao;Journal of Power Engineering,1993

3. Analysis by regression for the operational performance of typical 600MW turbine;Jianmin;Journal of Gansu Sciences,1993

4. Heat rate regression analysis based on partial least squares algorithm;Wenqin;Journal of Modern Electric Power,2009

5. Determination of the optimum pressure for sliding-pressure operation of turbine unit by using BP neural network;Hu;Journal of Thermal Power Generation,2003

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