Prediction of NOx Concentration at Inlet Section of SCR Denitrification Reactor Based on Bidirectional Long Short-Term Memory Network and Least Squares Support Vector Machine Model
Power Generation and Environmental Protection|更新时间:2026-06-29
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Prediction of NOx Concentration at Inlet Section of SCR Denitrification Reactor Based on Bidirectional Long Short-Term Memory Network and Least Squares Support Vector Machine Model
Power Generation TechnologyVol. 46, Issue 5, Pages: 996-1004(2025)
作者机构:
长沙理工大学能源与动力工程学院,湖南省 长沙市 410114
作者简介:
基金信息:
National Natural Science Foundation of China(62173050)
ZENG Wengen,CHEN Donglin,TANG Mingzhu,et al.Prediction of NO,,x, Concentration at Inlet Section of SCR Denitrification Reactor Based on Bidirectional Long Short-Term Memory Network and Least Squares Support Vector Machine Model[J].Power Generation Technology,2025,46(05):996-1004. DOI: 10.12096/j.2096-4528.pgt.24008.
ZENG Wengen,CHEN Donglin,TANG Mingzhu,et al.Prediction of NO,,x, Concentration at Inlet Section of SCR Denitrification Reactor Based on Bidirectional Long Short-Term Memory Network and Least Squares Support Vector Machine Model[J].Power Generation Technology,2025,46(05):996-1004. DOI: 10.12096/j.2096-4528.pgt.24008.DOI:
Prediction of NOx Concentration at Inlet Section of SCR Denitrification Reactor Based on Bidirectional Long Short-Term Memory Network and Least Squares Support Vector Machine Model