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Dynamic model for predicting nitrogen oxide concentration at outlet of selective catalytic reduction denitrification system based on kernel extreme learning machine

Ma Ning Liu Lei Yang Zhenyong Yan Laiqing Dong Ze

东南大学学报：英文版2022，Vol.38Issue(4)：P.383-391,9.

东南大学学报：英文版2022，Vol.38Issue(4)：P.383-391,9.DOI:10.3969/j.issn.1003-7985.2022.04.007

Dynamic model for predicting nitrogen oxide concentration at outlet of selective catalytic reduction denitrification system based on kernel extreme learning machine

Ma Ning ¹Liu Lei ¹Yang Zhenyong ¹Yan Laiqing ²Dong Ze³

作者信息

1. North China Electric Power Research Institute Co.,Ltd.,Beijing 100045,China
2. School of Electric Power,Civil Engineering and Architecture,Shanxi University,Taiyuan 030006,China
3. Hebei Technology Innovation Center of Simulation and Optimized Control for Power Generation,North China Electric Power University,Baoding 071003,China
折叠

摘要

关键词

selective catalytic reduction/nitrogen oxides/principal component analysis/kernel extreme learning machine/dynamic model

分类

能源科技

引用本文复制引用

Ma Ning,Liu Lei,Yang Zhenyong,Yan Laiqing,Dong Ze..Dynamic model for predicting nitrogen oxide concentration at outlet of selective catalytic reduction denitrification system based on kernel extreme learning machine[J].东南大学学报：英文版,2022,38(4):P.383-391,9.

基金项目

The National Natural Science Foundation of China(No.71471060) （No.71471060）

the Natural Science Foundation of Hebei Province(No.E2018502111)。（No.E2018502111）

东南大学学报：英文版

ISSN：1003-7985

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