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Modeling and Optimization of NOX Emission in a Coal-fired Power Plant using Advanced Machine Learning Methods

机译：使用高级机器学习方法对燃煤电厂NOX排放进行建模和优化

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Tan Peng; Xia Ji; Zhang Cheng; Fang Qingyan; Chen Gang;
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年度 2014
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1. Prediction of SOx-NOx emission from a coal-fired CFB power plant with machine learning: Plant data learned by deep neural network and least square support vector machine [J] . Adams Derrick, Oh Dong-Hoon, Kim Dong-Won, Journal of Cleaner Production . 2020,第Octa10期

机译：用机器学习预测燃煤CFB发电厂的SOX-NOx排放：深神经网络和最小二乘支持向量机学习的植物数据
2. A real-time model based on least squares support vector machines and output bias update for the prediction of NOx emission from coal-fired power plant [J] . Ahmed Faisal, Cho Hyun Jun, Kim Jin Kuk, The Korean journal of chemical engineering . 2015,第6期

机译：基于最小二乘支持向量机和输出偏差更新的实时模型，用于预测燃煤电厂的NOx排放
3. Dynamic inferential NOx emission prediction model with delay estimation for SCR de-NOx process in coal-fired power plants [J] . Laiqing Yan, Ze Dong, Hao Jia, Royal Society Open Science . 2020,第2期

机译：燃煤发电厂SCR去NOx工艺延迟估计动态推断NOx排放模型
4. Modeling and optimization of NO_X emission in a coal-fired power plant using advanced machine learning methods [C] . Peng Tan, Ji Xia, Cheng Zhang International Conference on Applied Energy . 2015

机译：采用先进机器学习方法燃煤发电厂NO_X排放的建模与优化
5. A computational model for multi-objective optimization of zero emission power plants. [D] . Li, Xinxin. 2011

机译：零排放电厂多目标优化的计算模型。
6. Dynamic inferential NOx emission prediction model with delay estimation for SCR de-NOx process in coal-fired power plants [O] . Laiqing Yan, Ze Dong, Hao Jia, 2020

机译：燃煤电厂SCR脱硝过程的带延迟估计的动态推断NOx排放预测模型
7. Review of Monitoring Methods for Submicronsized Particulates Emission in Coal-fired Power Plants [O] . Yiwei Chen, Gengda Li, Zhenxin Sun, 2016

机译：燃煤发电厂亚微粒颗粒发射监测方法综述

Modeling and Optimization of NOX Emission in a Coal-fired Power Plant using Advanced Machine Learning Methods

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