Your Location:
Home >
Browse articles >
Pressure Difference Prediction of Air Preheater in Coal-Fired Power Plant Based on BP Neural Network and Support Vector Regression
Power Generation Technology   Vol. 44, Issue 4, Pages: 550-556(2023)
Power Generation and Environmental Protection|Updated:2025-06-06
  • Export

  • Collection

  • Album

    • Pressure Difference Prediction of Air Preheater in Coal-Fired Power Plant Based on BP Neural Network and Support Vector Regression

    • “In the field of pressure difference prediction for air preheaters in coal-fired power plants, experts have established a PSO-BP neural network model based on DCS big data, providing a solution to improve prediction accuracy and generalization ability.”
    • DOI:10.12096/j.2096-4528.pgt.22160    

      CLC:

    Scan QR Code

  •  
  •  

57

Views

227

Downloads

4

CSCD

Alert me when the article has been cited
Submit
Outline

Related Articles

Study on Induced Draft Fan Fault Warning of Thermal Power Unit Based on Big Data Analysis
Study of Water Wall Flow Distribution and Mass Outlet Temperature Distribution in Ultra-Supercritical Boiler Based on Pot-Furnace Coupling
Analysis of Influence of Flue Gas Recirculation on Thermodynamic Performance and Economic Efficiency of 125 MW Supercritical CO2 Coal-Fired Power Generation Unit
Effects of Variable-Flow Water Distribution on Cooling Performance of Wet Cooling Towers and Its Optimization
Research on Auto-Coupling PID Control Method of Firing Rate to Feed Water Ratio System of Supercritical Unit

Related Author

AN Jizhen
ZHENG Fuhao
LIU Yifan
CHEN Heng
XU Gang
CHEN ZhiHai
TAN Peng
WU Fang

Related Institution

Beijing Key Laboratory of Pollutant Monitoring and Control in Thermoelectric Production, North China Electric Power University, Changping District
State Key Laboratory of Coal Combustion and Low Carbon Utilization (Huazhong University of Science and Technology)
School of Energy and Power Engineering, Huazhong University of Science and Technology
State Key Laboratory of Coal Combustion (Huazhong University of Science and Technology)
CHN Energy Group New Energy Technology Research Institute Co., Ltd., Chaoyang District