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Study on Optimization of Prediction Model of Flue Gas Oxygen Content in Thermal Power Plant Based on Least Squares Support Vector Machine
Power Generation and Environmental Protection | 更新时间：2025-06-06

    • Study on Optimization of Prediction Model of Flue Gas Oxygen Content in Thermal Power Plant Based on Least Squares Support Vector Machine

    • “According to the latest research, a breakthrough has been made in the prediction model of oxygen content in flue gas of a 1000MW ultra supercritical boiler in a power plant. The GA-LSSVM model has high prediction accuracy and strong generalization ability, providing scientific basis for optimizing boiler combustion operation.”
    • Power Generation Technology   Vol. 44, Issue 4, Pages: 534-542(2023)

    • DOI：10.12096/j.2096-4528.pgt.21088    

      CLC： TK 227

    • Received：01 March 2022，

      Published：31 August 2023

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  • ZHAO Guoqin,LAN Maowei,LI Yang,et al.Study on Optimization of Prediction Model of Flue Gas Oxygen Content in Thermal Power Plant Based on Least Squares Support Vector Machine[J].Power Generation Technology,2023,44(04):534-542. DOI： 10.12096/j.2096-4528.pgt.21088.

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Related Institution

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