Furnace Temperature Prediction Based on Optimized Kernel Extreme Learning Machine

Chen Peng (), Chuanliang Cheng () and Ling Wang ()
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Chen Peng: Shanghai University, School of Mechatronic Engineering and Automation
Chuanliang Cheng: Shanghai University, School of Mechatronic Engineering and Automation
Ling Wang: Shanghai University, School of Mechatronic Engineering and Automation

Chapter Chapter 5 in Reconstruction and Intelligent Control for Power Plant, 2023, pp 91-111 from Springer

Abstract: Abstract In power plants, theFurnace furnace temperature directly affects the combustion efficiency and safe operation of the boiler combustion system, which is of great significance for the boiler combustion control system [1]. However, furnaceFurnace combustion is an extremely complex process, and its temperature is affected by many related factors.

Date: 2023
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DOI: 10.1007/978-981-19-5574-7_5

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