A hybrid least square support vector machine for boiler

A novel least squares support vector machine ensemble

Jun 15, 2013 · Real operation data of power plants are inclined to be concentrated in some local areas because of the operators' habits and control system design. In this paper, a novel least squares support vector machine (LSSVM)-based ensemble learning paradigm is proposed to predict NO x emission of a coal-fired boiler using real operation data. In view of the plant data characteristics, a soft fuzzy c …

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Combustion Optimization for Utility Boiler Based on Least

High efficiency and low NOx emission are the two main goals of boiler combustion optimization.This paper applied least square-support vector machine (LS-SVM) to build the utility boiler combustion model,for the prediction of carbon content of fly ash,exhaust flue gas temperature,NOx emission,boiler efficiency,and so on.As a novel modeling method,the performance of LS-SVM was compared with that of the traditional BP neural network;the corresponding results indicate that LS-SVM …

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Optimization of coal-fired boiler SCRs based on modified

Optimization of coal-fired boiler SCRs based on modified support vector machine models and genetic algorithms Fengqi Sia, Carlos E. Romerob,*, Zheng Yaob, Eugenio Schusterb, Zhigao Xua, Robert L. Moreyc, Barry N. Liebowitzd a School of Energy and Environment, Southeast University, Si Pai Lou No. 2, Nanjing 210096, PR China bEnergy Research Center, Lehigh University, 117 ATLSS Drive

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Robust Control Method Based on Machine Learning for Boiler

In this study, we presented a boiler combustion robust control method under load changes based on the least squares support vector machine, PID parameters are on-line adjusted and identified by LSSVM, optimum control output is obtained. The simulation result shows control performance of the intelligent control algorithm is superior to traditional control algorithm and fuzzy PID control

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Combustion optimization model for NO x reduction with an

Sep 29, 2016 · GU Y P, ZHAO W J, WU Z S. Combustion optimization for utility boiler based on least square support vector machine [J]. Proceedings of the CSEE, 2010, 30(17): 91–97 (in Chinese). Google Scholar [9] ZHOU H, ZHENG L G, CEN K F. Computational intelligence approach for NO x emissions minimization in a coal-fired utility boiler [J].

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Optimization of coal-fired boiler SCRs based on modified

Optimization of coal-fired boiler SCRs based on modified support vector machine models and genetic algorithms Fengqi Sia, Carlos E. Romerob,*, Zheng Yaob, Eugenio Schusterb, Zhigao Xua, Robert L. Moreyc, Barry N. Liebowitzd a School of Energy and Environment, Southeast University, Si Pai Lou No. 2, Nanjing 210096, PR China bEnergy Research Center, Lehigh University, 117 ATLSS Drive

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Modeling of Boiler Steam Flow Based on Adaptive Least

Request PDF | On Aug 1, 2017, Yu Wang and others published Modeling of Boiler Steam Flow Based on Adaptive Least Squares Support Vector Machine | Find, read and cite all the research you need on

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Combustion optimization for utility boiler based on least

At present, the least squares support vector machine (LSSVM) is a machine learning algorithm with good performance and has been widely used for predicting NO x emissions from power plant boilers

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A Deep Learning Model for Measuring Oxygen Content of

Jan 09, 2020 · The oxygen content of boiler flue gas is a valid indicator of boiler efficiency and emissions. Measuring the oxygen content of boiler flue gas is time consuming and costly. To overcome the latter shortcomings, a novel deep belief network algorithm based hybrid prediction model for the oxygen content of boiler flue gas is proposed. First, the algorithm is used to build a model based on …

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Combustion Optimization for Utility Boiler Based on Least

High efficiency and low NOx emission are the two main goals of boiler combustion optimization.This paper applied least square-support vector machine (LS-SVM) to build the utility boiler combustion model,for the prediction of carbon content of fly ash,exhaust flue gas temperature,NOx emission,boiler efficiency,and so on.As a novel modeling method,the performance of LS-SVM was compared with that

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A dynamic model for the bed temperature prediction of

"A novel least squares support vector machine ensemble model for NOx emission prediction of a coal-fired boiler," Energy, Elsevier, vol. 55(C), pages 319-329. Liukkonen, M. & Hiltunen, T., 2014. " Adaptive monitoring of emissions in energy boilers using self-organizing maps: An application to a biomass-fired CFB (circulating fluidized bed

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Combustion optimization for utility boilers based on

Hybrid modeling of boiler combustion system based on numerical simulation and experimental data. Therefore, in this study, least square support vector machine (LS-SVM) with genetic algorithm

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