Research graph
References from Review of Boiler Intelligence: From In-Furnace Sensing to Decision Optimization. Local targets link to admitted publications; unresolved targets remain external evidence.
A systematic literature review on machine learning applications at coal-fired thermal power plants for improved energy efficiency
10.1080/14786451.2023.2244618 · 2023 · External reference
Modeling and optimization of processes for clean and efficient pulverized coal combustion in utility boilers
2015 · External reference
A novel online modeling for NOx generation prediction in coal-fired boiler
10.1016/j.scitotenv.2022.157542 · 2022 · External reference
Combustion optimization of a coal-fired power plant boiler using artificial intelligence neural networks
10.1016/j.fuel.2023.128145 · 2023 · External reference
Artificial intelligence for control and optimization of boilers’ performance and emissions: A review
10.1016/j.jclepro.2023.138109 · 2023 · External reference
Unresolved reference
External reference
A mechanism-data hybrid-driven approach to reduce NOx emission and slagging for coal-fired boiler using POD reduced order modeling and XGBoost
10.1016/j.applthermaleng.2025.126709 · 2025 · External reference
A physics-informed subdomain proper orthogonal decomposition framework for rapid and accurate multiphysics field reconstruction in gas-fired boilers
10.1016/j.energy.2026.140953 · 2026 · External reference
Fast prediction of temperature and chemical species distributions in pulverized coal boiler using POD reduced-order modeling for CFD
10.1016/j.energy.2023.127663 · 2023 · External reference
A digital twin of coal-fired boiler for physical fields prediction using flow-field-informed POD-XGBoost reduced-order modeling
10.1016/j.energy.2025.136732 · 2025 · External reference
Constrained optimization of combustion in a simulated coal-fired boiler using artificial neural network model and information analysis
10.1016/s0016-2361(02)00338-1 · 2003 · External reference
Modeling and optimization of the NOx emission characteristics of a tangentially fired boiler with artificial neural networks
10.1016/j.energy.2003.08.004 · 2004 · External reference
Combining Support Vector Regression and Ant Colony Optimization to Reduce NOx Emissions in Coal-Fired Utility Boilers
10.1021/ef700451v · 2008 · External reference
Online adaptive least squares support vector machine and its application in utility boiler combustion optimization systems
10.1016/j.jprocont.2011.06.001 · 2011 · External reference
Improved artificial bee colony-based optimization of boiler combustion considering NO emissions, heat rate and fly ash recycling for on-line applications
10.1016/j.fuel.2015.12.065 · 2016 · External reference
Efficiency and Enhanced Performance: Exploring Digital Twin Implementation in Power Plants
10.53941/rset.2025.100005 · 2025 · External reference
Artificial intelligence driven smart operation of large industrial complexes supporting the net-zero goal: Coal power plants
10.1016/j.dche.2023.100119 · 2023 · External reference
10.3390/math13030342
10.3390/math13030342 · External reference
Physics Informed Neural Network for Health Monitoring of an Air Preheater
10.36001/phme.2022.v7i1.3343 · 2022 · External reference
A Self-Calibrating Digital Twin Approach by Integrating CFD and Sensor Data for Coal-Fired Boiler Water Wall Temperature
10.1007/s11630-025-2126-1 · 2025 · External reference
10.3390/app13084905
10.3390/app13084905 · External reference
Reinforcement learning control for once-through boiler-turbine units based on mechanistic directed multi-subgraph integration
10.1016/j.neucom.2026.133010 · 2026 · External reference
Smart monitoring of the expansion state of boiler water walls in coal-fired power plants using a digital twin model
10.3176/proc.2025.2.12 · 2025 · External reference
ThermalNet: A deep reinforcement learning-based combustion optimization system for coal-fired boiler
10.1016/j.engappai.2018.07.003 · 2018 · External reference
BoilerNet: Deep reinforcement learning-based combustion optimization network for pulverized coal boiler
10.1016/j.energy.2025.134804 · 2025 · External reference
A Survey on Intelligent Optimization Approaches to Boiler Combustion Optimization
10.26599/air.2023.9150014 · 2023 · External reference
Safe reinforcement learning for power system control: A review
10.1016/j.rser.2025.116022 · 2025 · External reference
A systematic review of transformers and large language models in the energy sector: Towards agentic digital twins
10.1016/j.apenergy.2025.126670 · 2025 · External reference
A Comprehensive Review on the Application of Large Language Models (LLMs) in Power Systems
10.1109/access.2025.3637226 · 2025 · External reference
10.1007/978-981-95-7932-7_11
10.1007/978-981-95-7932-7_11 · External reference
Towards reliable and interpretable NOx emission prediction: A knowledge and data driven model for coal-fired boilers with spatiotemporal feature integration
10.1016/j.energy.2025.139572 · 2025 · External reference
Machine learning regression algorithms to predict emissions from steam boilers
10.1016/j.heliyon.2024.e26892 · 2024 · External reference
A data-driven regression model for predicting thermal plant performance under load fluctuations
10.1007/s43979-024-00108-5 · 2024 · External reference
10.1109/acpee64358.2025.11041559
10.1109/acpee64358.2025.11041559 · External reference
10.3389/fenrg.2022.845328
10.3389/fenrg.2022.845328 · External reference
10.3390/atmos16050533
10.3390/atmos16050533 · External reference
A hybrid deep neural network based prediction of 300 MW coal-fired boiler combustion operation condition
10.1007/s11431-020-1796-2 · 2021 · External reference
10.3390/en17246449
10.3390/en17246449 · External reference
A novel data-driven approach for coal-fired boiler under deep peak shaving to predict and optimize NOx emission and heat exchange performance
10.1016/j.energy.2024.132106 · 2024 · External reference
10.3390/s24144442
10.3390/s24144442 · External reference
10.3389/fenrg.2022.1054427
10.3389/fenrg.2022.1054427 · External reference
10.3390/s24072340
10.3390/s24072340 · External reference
10.3390/su141912534
10.3390/su141912534 · External reference
Data-Driven Modeling for the Prediction of Stack Gas Concentration in a Coal-Fired Power Plant in Türkiye
10.1007/s11270-024-07107-3 · 2024 · External reference
A novel hybrid forecasting approach for NOx emission of coal-fired boiler combined with CEEMDAN and self-attention improved by LSTM
10.1002/apj.3057 · 2024 · External reference
Prediction of the NO emissions from thermal power plant using long-short term memory neural network
10.1016/j.energy.2019.116597 · 2020 · External reference
Modeling NOx emissions from coal-fired utility boilers using support vector regression with ant colony optimization
10.1016/j.engappai.2011.08.005 · 2011 · External reference
A physics-informed neural network that considers monotonic relationships for predicting NO emissions from coal-fired boilers
10.1016/j.fuel.2024.131026 · 2024 · External reference
Generalized predictive control using improved recurrent fuzzy neural network for a boiler-turbine unit
10.1016/j.engappai.2023.106053 · 2023 · External reference
Multi-model predictive control of SCR flue gas denitrification system in coal-fired power plant based on kernel fuzzy c-means clustering and integrated model
10.1002/cjce.25082 · 2023 · External reference
10.1109/ieses66335.2025.11359928
10.1109/ieses66335.2025.11359928 · External reference
A generalized model of SO2 emissions from large- and small-scale CFB boilers by artificial neural network approach
10.1016/j.fuproc.2015.04.012 · 2015 · External reference
A generalized model of SO2 emissions from large- and small-scale CFB boilers by artificial neural network approach Part 2. SO2 emissions from large- and pilot-scale CFB boilers in O2/N2, O2/CO2 and O2/RFG combustion atmospheres
10.1016/j.fuproc.2015.08.009 · 2015 · External reference
System for diagnosis and optimization of combustion in pulverized coal boilers based on artificial intelligence methods
10.1016/j.engappai.2026.114103 · 2026 · External reference
Study on Slagging Characteristics of Boiler Pre-combustion Chambers Based on Deep Learning
10.1021/acsomega.3c00998 · 2023 · External reference
10.3390/en16010076
10.3390/en16010076 · External reference
10.3390/en19092067
10.3390/en19092067 · External reference
10.3390/en12173281
10.3390/en12173281 · External reference
10.3389/fenrg.2021.725353
10.3389/fenrg.2021.725353 · External reference
Adaptive Internal Model Control of SCR Denitration System Based on Multi-Objective Optimization
10.1109/access.2022.3154418 · 2022 · External reference
10.2139/ssrn.4865198
10.2139/ssrn.4865198 · External reference
Control Strategy for Denitrification Efficiency of Coal-Fired Power Plant Based on Deep Reinforcement Learning
10.1109/access.2020.2985233 · 2020 · External reference
Optimization of sootblowing frequency to improve boiler performance and reduce combustion pollution
10.1007/s10098-015-0906-0 · 2015 · External reference
Real-time fouling monitoring and soot-blowing parameters optimization in boilers burning high-alkali coal
10.1016/j.tsep.2025.104008 · 2025 · External reference
Data-driven modeling-based digital twin of supercritical coal-fired boiler for metal temperature anomaly detection
10.1016/j.energy.2023.127959 · 2023 · External reference
10.3390/en15176355
10.3390/en15176355 · External reference
10.3389/fenrg.2022.1037539
10.3389/fenrg.2022.1037539 · External reference
10.1109/icit.2019.8755058
10.1109/icit.2019.8755058 · External reference
10.3390/s20216356
10.3390/s20216356 · External reference
10.3390/s20020571
10.3390/s20020571 · External reference
10.3390/en14134000
10.3390/en14134000 · External reference
Statistical Model Identification and Variable Selection for Prediction of Heat Exchanger Fouling
10.1155/2023/3040310 · 2023 · External reference
Analysis of feature selection techniques for prediction of boiler efficiency in case of coal based power plant using real time data
10.1007/s13198-022-01725-y · 2022 · External reference
Unresolved reference
External reference
A new on-line combustion optimization approach for ultra-supercritical coal-fired boiler to improve boiler efficiency, reduce NOx emission and enhance operating safety
10.1016/j.energy.2023.128748 · 2023 · External reference
Machine learning-assisted synergetic optimization of carbon emission and thermal efficiency for a 660 MW pulverized coal-fired boiler
10.1016/j.energy.2025.139291 · 2025 · External reference
Optimization of air distribution and coal blending in pulverized coal boilers for high-temperature corrosion prevention based on POD reduced-order modeling
10.1016/j.applthermaleng.2024.123705 · 2024 · External reference
Optimization study of low-NO combustion in boiler based on pulverized coal preheating solution
10.1016/j.csite.2024.105647 · 2024 · External reference
Combustion optimization of a coal-fired boiler with double linear fast learning network
10.1007/s00500-014-1486-3 · 2014 · External reference
Combining neural network and genetic algorithms to optimize low NOx pulverized coal combustion
10.1016/s0016-2361(01)00104-1 · 2001 · External reference
DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning
2022 · External reference
Combustion optimization study of pulverized coal boiler based on proximal policy optimization algorithm
10.1016/j.applthermaleng.2024.123857 · 2024 · External reference
Dynamic combustion optimization of a pulverized coal boiler considering the wall temperature constraints: A deep reinforcement learning-based framework
10.1016/j.applthermaleng.2024.124923 · 2024 · External reference
Numerical simulation-driven machine learning and particle swarm optimization of burner fuel distribution for cleaner combustion in a thermal power plant
10.1016/j.engappai.2026.114359 · 2026 · External reference
Air distribution and coal blending optimization to reduce slagging on coal-fired boiler water wall based on POD reduced order modeling for CFD
10.1016/j.fuel.2023.129856 · 2023 · External reference
A novel hybrid forecasting approach for NOx emission of coal-fired boiler combined with CEEMDAN and self-attention improved by LSTM
10.1002/apj.3057 · ExternalCitation · doi-reference
Multi-model predictive control of SCR flue gas denitrification system in coal-fired power plant based on kernel fuzzy c-means clustering and integrated model
10.1002/cjce.25082 · ExternalCitation · doi-reference
10.1007/978-981-95-7932-7_11
10.1007/978-981-95-7932-7_11 · ExternalCitation · doi-reference
Combustion optimization of a coal-fired boiler with double linear fast learning network
10.1007/s00500-014-1486-3 · ExternalCitation · doi-reference
Optimization of sootblowing frequency to improve boiler performance and reduce combustion pollution
10.1007/s10098-015-0906-0 · ExternalCitation · doi-reference
Data-Driven Modeling for the Prediction of Stack Gas Concentration in a Coal-Fired Power Plant in Türkiye
10.1007/s11270-024-07107-3 · ExternalCitation · doi-reference
A hybrid deep neural network based prediction of 300 MW coal-fired boiler combustion operation condition
10.1007/s11431-020-1796-2 · ExternalCitation · doi-reference
A Self-Calibrating Digital Twin Approach by Integrating CFD and Sensor Data for Coal-Fired Boiler Water Wall Temperature
10.1007/s11630-025-2126-1 · ExternalCitation · doi-reference
Analysis of feature selection techniques for prediction of boiler efficiency in case of coal based power plant using real time data
10.1007/s13198-022-01725-y · ExternalCitation · doi-reference
A data-driven regression model for predicting thermal plant performance under load fluctuations
10.1007/s43979-024-00108-5 · ExternalCitation · doi-reference
A systematic review of transformers and large language models in the energy sector: Towards agentic digital twins
10.1016/j.apenergy.2025.126670 · ExternalCitation · doi-reference
Optimization of air distribution and coal blending in pulverized coal boilers for high-temperature corrosion prevention based on POD reduced-order modeling
10.1016/j.applthermaleng.2024.123705 · ExternalCitation · doi-reference
Combustion optimization study of pulverized coal boiler based on proximal policy optimization algorithm
10.1016/j.applthermaleng.2024.123857 · ExternalCitation · doi-reference
Dynamic combustion optimization of a pulverized coal boiler considering the wall temperature constraints: A deep reinforcement learning-based framework
10.1016/j.applthermaleng.2024.124923 · ExternalCitation · doi-reference
A mechanism-data hybrid-driven approach to reduce NOx emission and slagging for coal-fired boiler using POD reduced order modeling and XGBoost
10.1016/j.applthermaleng.2025.126709 · ExternalCitation · doi-reference
Optimization study of low-NO combustion in boiler based on pulverized coal preheating solution
10.1016/j.csite.2024.105647 · ExternalCitation · doi-reference
Artificial intelligence driven smart operation of large industrial complexes supporting the net-zero goal: Coal power plants
10.1016/j.dche.2023.100119 · ExternalCitation · doi-reference
Modeling and optimization of the NOx emission characteristics of a tangentially fired boiler with artificial neural networks
10.1016/j.energy.2003.08.004 · ExternalCitation · doi-reference
Prediction of the NO emissions from thermal power plant using long-short term memory neural network
10.1016/j.energy.2019.116597 · ExternalCitation · doi-reference
Fast prediction of temperature and chemical species distributions in pulverized coal boiler using POD reduced-order modeling for CFD
10.1016/j.energy.2023.127663 · ExternalCitation · doi-reference
Data-driven modeling-based digital twin of supercritical coal-fired boiler for metal temperature anomaly detection
10.1016/j.energy.2023.127959 · ExternalCitation · doi-reference
A new on-line combustion optimization approach for ultra-supercritical coal-fired boiler to improve boiler efficiency, reduce NOx emission and enhance operating safety
10.1016/j.energy.2023.128748 · ExternalCitation · doi-reference
A novel data-driven approach for coal-fired boiler under deep peak shaving to predict and optimize NOx emission and heat exchange performance
10.1016/j.energy.2024.132106 · ExternalCitation · doi-reference
BoilerNet: Deep reinforcement learning-based combustion optimization network for pulverized coal boiler
10.1016/j.energy.2025.134804 · ExternalCitation · doi-reference
A digital twin of coal-fired boiler for physical fields prediction using flow-field-informed POD-XGBoost reduced-order modeling
10.1016/j.energy.2025.136732 · ExternalCitation · doi-reference
Machine learning-assisted synergetic optimization of carbon emission and thermal efficiency for a 660 MW pulverized coal-fired boiler
10.1016/j.energy.2025.139291 · ExternalCitation · doi-reference
Towards reliable and interpretable NOx emission prediction: A knowledge and data driven model for coal-fired boilers with spatiotemporal feature integration
10.1016/j.energy.2025.139572 · ExternalCitation · doi-reference
A physics-informed subdomain proper orthogonal decomposition framework for rapid and accurate multiphysics field reconstruction in gas-fired boilers
10.1016/j.energy.2026.140953 · ExternalCitation · doi-reference
Modeling NOx emissions from coal-fired utility boilers using support vector regression with ant colony optimization
10.1016/j.engappai.2011.08.005 · ExternalCitation · doi-reference
ThermalNet: A deep reinforcement learning-based combustion optimization system for coal-fired boiler
10.1016/j.engappai.2018.07.003 · ExternalCitation · doi-reference
Generalized predictive control using improved recurrent fuzzy neural network for a boiler-turbine unit
10.1016/j.engappai.2023.106053 · ExternalCitation · doi-reference
System for diagnosis and optimization of combustion in pulverized coal boilers based on artificial intelligence methods
10.1016/j.engappai.2026.114103 · ExternalCitation · doi-reference
Numerical simulation-driven machine learning and particle swarm optimization of burner fuel distribution for cleaner combustion in a thermal power plant
10.1016/j.engappai.2026.114359 · ExternalCitation · doi-reference
Improved artificial bee colony-based optimization of boiler combustion considering NO emissions, heat rate and fly ash recycling for on-line applications
10.1016/j.fuel.2015.12.065 · ExternalCitation · doi-reference
Combustion optimization of a coal-fired power plant boiler using artificial intelligence neural networks
10.1016/j.fuel.2023.128145 · ExternalCitation · doi-reference
Air distribution and coal blending optimization to reduce slagging on coal-fired boiler water wall based on POD reduced order modeling for CFD
10.1016/j.fuel.2023.129856 · ExternalCitation · doi-reference
A physics-informed neural network that considers monotonic relationships for predicting NO emissions from coal-fired boilers
10.1016/j.fuel.2024.131026 · ExternalCitation · doi-reference
A generalized model of SO2 emissions from large- and small-scale CFB boilers by artificial neural network approach
10.1016/j.fuproc.2015.04.012 · ExternalCitation · doi-reference
A generalized model of SO2 emissions from large- and small-scale CFB boilers by artificial neural network approach Part 2. SO2 emissions from large- and pilot-scale CFB boilers in O2/N2, O2/CO2 and O2/RFG combustion atmospheres
10.1016/j.fuproc.2015.08.009 · ExternalCitation · doi-reference
Machine learning regression algorithms to predict emissions from steam boilers
10.1016/j.heliyon.2024.e26892 · ExternalCitation · doi-reference
Artificial intelligence for control and optimization of boilers’ performance and emissions: A review
10.1016/j.jclepro.2023.138109 · ExternalCitation · doi-reference
Online adaptive least squares support vector machine and its application in utility boiler combustion optimization systems
10.1016/j.jprocont.2011.06.001 · ExternalCitation · doi-reference
Reinforcement learning control for once-through boiler-turbine units based on mechanistic directed multi-subgraph integration
10.1016/j.neucom.2026.133010 · ExternalCitation · doi-reference
Safe reinforcement learning for power system control: A review
10.1016/j.rser.2025.116022 · ExternalCitation · doi-reference
A novel online modeling for NOx generation prediction in coal-fired boiler
10.1016/j.scitotenv.2022.157542 · ExternalCitation · doi-reference
Real-time fouling monitoring and soot-blowing parameters optimization in boilers burning high-alkali coal
10.1016/j.tsep.2025.104008 · ExternalCitation · doi-reference
Combining neural network and genetic algorithms to optimize low NOx pulverized coal combustion
10.1016/s0016-2361(01)00104-1 · ExternalCitation · doi-reference
Constrained optimization of combustion in a simulated coal-fired boiler using artificial neural network model and information analysis
10.1016/s0016-2361(02)00338-1 · ExternalCitation · doi-reference
Study on Slagging Characteristics of Boiler Pre-combustion Chambers Based on Deep Learning
10.1021/acsomega.3c00998 · ExternalCitation · doi-reference
Combining Support Vector Regression and Ant Colony Optimization to Reduce NOx Emissions in Coal-Fired Utility Boilers
10.1021/ef700451v · ExternalCitation · doi-reference
A systematic literature review on machine learning applications at coal-fired thermal power plants for improved energy efficiency
10.1080/14786451.2023.2244618 · ExternalCitation · doi-reference
Control Strategy for Denitrification Efficiency of Coal-Fired Power Plant Based on Deep Reinforcement Learning
10.1109/access.2020.2985233 · ExternalCitation · doi-reference
Adaptive Internal Model Control of SCR Denitration System Based on Multi-Objective Optimization
10.1109/access.2022.3154418 · ExternalCitation · doi-reference
A Comprehensive Review on the Application of Large Language Models (LLMs) in Power Systems
10.1109/access.2025.3637226 · ExternalCitation · doi-reference
10.1109/acpee64358.2025.11041559
10.1109/acpee64358.2025.11041559 · ExternalCitation · doi-reference
10.1109/icit.2019.8755058
10.1109/icit.2019.8755058 · ExternalCitation · doi-reference
10.1109/ieses66335.2025.11359928
10.1109/ieses66335.2025.11359928 · ExternalCitation · doi-reference
Statistical Model Identification and Variable Selection for Prediction of Heat Exchanger Fouling
10.1155/2023/3040310 · ExternalCitation · doi-reference
10.2139/ssrn.4865198
10.2139/ssrn.4865198 · ExternalCitation · doi-reference
A Survey on Intelligent Optimization Approaches to Boiler Combustion Optimization
10.26599/air.2023.9150014 · ExternalCitation · doi-reference
Smart monitoring of the expansion state of boiler water walls in coal-fired power plants using a digital twin model
10.3176/proc.2025.2.12 · ExternalCitation · doi-reference
10.3389/fenrg.2021.725353
10.3389/fenrg.2021.725353 · ExternalCitation · doi-reference
10.3389/fenrg.2022.1037539
10.3389/fenrg.2022.1037539 · ExternalCitation · doi-reference
10.3389/fenrg.2022.1054427
10.3389/fenrg.2022.1054427 · ExternalCitation · doi-reference
10.3389/fenrg.2022.845328
10.3389/fenrg.2022.845328 · ExternalCitation · doi-reference
10.3390/app13084905
10.3390/app13084905 · ExternalCitation · doi-reference
10.3390/atmos16050533
10.3390/atmos16050533 · ExternalCitation · doi-reference
10.3390/en12173281
10.3390/en12173281 · ExternalCitation · doi-reference
10.3390/en14134000
10.3390/en14134000 · ExternalCitation · doi-reference
10.3390/en15176355
10.3390/en15176355 · ExternalCitation · doi-reference
10.3390/en16010076
10.3390/en16010076 · ExternalCitation · doi-reference
10.3390/en17246449
10.3390/en17246449 · ExternalCitation · doi-reference
10.3390/en19092067
10.3390/en19092067 · ExternalCitation · doi-reference
10.3390/math13030342
10.3390/math13030342 · ExternalCitation · doi-reference
10.3390/s20020571
10.3390/s20020571 · ExternalCitation · doi-reference
10.3390/s20216356
10.3390/s20216356 · ExternalCitation · doi-reference
10.3390/s24072340
10.3390/s24072340 · ExternalCitation · doi-reference
10.3390/s24144442
10.3390/s24144442 · ExternalCitation · doi-reference
10.3390/su141912534
10.3390/su141912534 · ExternalCitation · doi-reference
Physics Informed Neural Network for Health Monitoring of an Air Preheater
10.36001/phme.2022.v7i1.3343 · ExternalCitation · doi-reference
Efficiency and Enhanced Performance: Exploring Digital Twin Implementation in Power Plants
10.53941/rset.2025.100005 · ExternalCitation · doi-reference
