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Dynamic modeling of NOX emission in a 660 MW coal-fired boiler with long short-term memory

Citations

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Cited by:

  1. Li, Shicheng & Ma, Suxia & Wang, Fang, 2023. "A combined NOx emission prediction model based on semi-empirical model and black box models," Energy, Elsevier, vol. 264(C).
  2. Yin, Linfei & Xie, Jiaxing, 2022. "Multi-feature-scale fusion temporal convolution networks for metal temperature forecasting of ultra-supercritical coal-fired power plant reheater tubes," Energy, Elsevier, vol. 238(PA).
  3. Lv, You & Lv, Xuguang & Fang, Fang & Yang, Tingting & Romero, Carlos E., 2020. "Adaptive selective catalytic reduction model development using typical operating data in coal-fired power plants," Energy, Elsevier, vol. 192(C).
  4. Tuttle, Jacob F. & Blackburn, Landen D. & Andersson, Klas & Powell, Kody M., 2021. "A systematic comparison of machine learning methods for modeling of dynamic processes applied to combustion emission rate modeling," Applied Energy, Elsevier, vol. 292(C).
  5. Han, Zhezhe & Tang, Xiaoyu & Xie, Yue & Liang, Ruiyu & Bao, Yongqiang, 2024. "Prediction of heavy-oil combustion emissions with a semi-supervised learning model considering variable operation conditions," Energy, Elsevier, vol. 288(C).
  6. Wang, Yi & He, Pin-Jing & Yu, Si-Yuan & Lü, Fan & Long, Ji-Sheng & Zhang, Hua, 2025. "Prediction of NOx emissions in waste-to-energy plants using machine learning models based on hybrid feature selection method," Energy, Elsevier, vol. 339(C).
  7. Zeng, Jimin & Liu, Lidong & Liang, Xiao & Chen, Shihe & Yuan, Jun, 2021. "Evaluating fuel consumption factor for energy conservation and carbon neutral on an industrial thermal power unit," Energy, Elsevier, vol. 232(C).
  8. Wu, Yixi & Wang, Ziqi & Shi, Chenli & Jin, Xiaohang & Xu, Zhengguo, 2024. "A novel data-driven approach for coal-fired boiler under deep peak shaving to predict and optimize NOx emission and heat exchange performance," Energy, Elsevier, vol. 304(C).
  9. Bi, Yubo & Wu, Qiulan & Wang, Shilu & Shi, Jihao & Cong, Haiyong & Ye, Lili & Gao, Wei & Bi, Mingshu, 2023. "Hydrogen leakage location prediction at hydrogen refueling stations based on deep learning," Energy, Elsevier, vol. 284(C).
  10. Wang, Ziwei & Fan, Wei & Lin, Zixuan & Yu, Haiquan & Yu, Cong & Li, Yu & Zhou, Wei, 2025. "Dynamic prediction of NOx generation concentration based on Kolmogorov–Arnold Network integrated deep learning method for a 660 MW coal-fired boiler," Energy, Elsevier, vol. 340(C).
  11. Wen, Xiaoqiang & Li, Kaichuang & Wang, Jianguo, 2023. "NOx emission predicting for coal-fired boilers based on ensemble learning methods and optimized base learners," Energy, Elsevier, vol. 264(C).
  12. Li, Xinli & Wang, Yingnan & Zhu, Yun & Yang, Guotian & Liu, He, 2021. "Temperature prediction of combustion level of ultra-supercritical unit through data mining and modelling," Energy, Elsevier, vol. 231(C).
  13. Nan Li & You Lv & Yong Hu, 2022. "Prediction of NOx Emissions from a Coal-Fired Boiler Based on Convolutional Neural Networks with a Channel Attention Mechanism," Energies, MDPI, vol. 16(1), pages 1-11, December.
  14. Wang, Zhimin & Huang, Qian & Liu, Guanqing & Wang, Kexuan & Lyu, Junfu & Li, Shuiqing, 2024. "Knowledge-inspired data-driven prediction of overheating risks in flexible thermal-power plants," Applied Energy, Elsevier, vol. 364(C).
  15. Wang, Zhi & Peng, Xianyong & Zhou, Huaichun & Cao, Shengxian & Huang, Wenbo & Yan, Weijie & Li, Kuangyu & Fan, Siyuan, 2024. "A dynamic modeling method using channel-selection convolutional neural network: A case study of NOx emission," Energy, Elsevier, vol. 290(C).
  16. Darbandi, Masoud & Fatin, Ali & Bordbar, Hadi, 2020. "Numerical study on NOx reduction in a large-scale heavy fuel oil-fired boiler using suitable burner adjustments," Energy, Elsevier, vol. 199(C).
  17. Jiao, Long & Kuang, Min & Chen, Yangyang & Liu, Sheng & Wang, Xiu, 2021. "Detailed measurements of in-furnace gas temperature and species concentration distribution regarding the primary-air distribution mode in a spreader and reversal chain-grate furnace," Energy, Elsevier, vol. 235(C).
  18. Long, Jian & Jiang, Siyu & Wang, Luyao & Zhai, Jiazi & Zhang, Feng & Zhao, Liang, 2025. "A feature optimized attention transformer with kinetic information capture and weighted robust Z-score for industrial NOx emission forecasting," Energy, Elsevier, vol. 326(C).
  19. Laubscher, Ryno, 2019. "Time-series forecasting of coal-fired power plant reheater metal temperatures using encoder-decoder recurrent neural networks," Energy, Elsevier, vol. 189(C).
  20. Ding, Xiaosong & Feng, Chong & Yu, Peiling & Li, Kaiwen & Chen, Xi, 2023. "Gradient boosting decision tree in the prediction of NOx emission of waste incineration," Energy, Elsevier, vol. 264(C).
  21. Zhu, Yukun & Yu, Cong & Fan, Wei & Yu, Haiquan & Jin, Wei & Chen, Shuo & Liu, Xia, 2023. "A novel NOx emission prediction model for multimodal operational utility boilers considering local features and prior knowledge," Energy, Elsevier, vol. 280(C).
  22. Wang, Jialin & Kuang, Min & Zhao, Xiaojuan & Wu, Haiqian & Ti, Shuguang & Chen, Chuyang & Jiao, Long, 2020. "Trends of the low-NOx and high-burnout combustion characteristics in a cascade-arch, W-shaped flame furnace regarding with the staged-air angle," Energy, Elsevier, vol. 212(C).
  23. Huang, Jingjing & Zhou, Wenjuan & Fan, Ying & Wang, Maofa, 2026. "Multivariate transfer entropy-guided self-attention for nonlinear causal interaction modeling: Evidence from energy systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 681(C).
  24. Li, Ruilian & Zeng, Deliang & Li, Tingting & Ti, Baozhong & Hu, Yong, 2023. "Real-time prediction of SO2 emission concentration under wide range of variable loads by convolution-LSTM VE-transformer," Energy, Elsevier, vol. 269(C).
  25. Fan, Yuchen & Liu, Xin & Zhang, Chaoqun & Li, Chi & Li, Xinying & Wang, Heyang, 2024. "Dynamic prediction of boiler NOx emission with graph convolutional gated recurrent unit model optimized by genetic algorithm," Energy, Elsevier, vol. 294(C).
  26. Jia, Xiongjie & Sang, Yichen & Li, Yanjun & Du, Wei & Zhang, Guolei, 2022. "Short-term forecasting for supercharged boiler safety performance based on advanced data-driven modelling framework," Energy, Elsevier, vol. 239(PE).
  27. Wenlong liu, & Gao, Ying & Zhu, Qi & You, Yuelin & Xia, Bocong, 2025. "Diesel selective catalytic reduction emission prediction based on physical model data-driven and variational autoencoder-fully connected neural network-improved Bayesian algorithm (VAE-FCNN-IBO)," Energy, Elsevier, vol. 337(C).
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