Modeling and optimization of the NOX generation characteristics of the coal-fired boiler based on interpretable machine learning algorithm

NOx emissions prediction based on mutual information and back propagation neural network using correlation quantitative analysis

(2020) Guoyang Wang et al.   ENERGY

Interpretation of machine learning models using shapley values: application to compound potency and multi-target activity predictions

(2020) Raquel Rodríguez-Pérez et al.   JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN

Numerical optimization of the influence of multiple deep air-staged combustion on the NOx emission in an opposed firing utility boiler using lean coal

(2020) Yongqiang Wang et al.   FUEL

Real-time dynamic prediction model of NOx emission of coal-fired boilers under variable load conditions

(2020) Tingting Yang et al.   FUEL

ANN-Based Prediction of Laboratory-Scale Performance of CO2-Foam Flooding for Improving Oil Recovery

(2019) Seyedeh Raha Moosavi et al.   Natural Resources Research

Constraint Learning Based Gradient Boosting Trees

(2019) Abraham Israeli et al.   EXPERT SYSTEMS WITH APPLICATIONS

Systematic Error Removal Using Random Forest for Normalizing Large-Scale Untargeted Lipidomics Data

(2019) Sili Fan et al.   ANALYTICAL CHEMISTRY

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

(2019) Peng Tan et al.   ENERGY

Dynamic modeling for NOx emission sequence prediction of SCR system outlet based on sequence to sequence long short-term memory network

(2019) Peiran Xie et al.   ENERGY

A modified online sequential extreme learning machine for building circulation fluidized bed boiler's NOx emission model

(2018) Yunpeng Ma et al.   APPLIED MATHEMATICS AND COMPUTATION

Comparative study of estimation methods of NOx emission with selection of input parameters for a coal-fired boiler

(2018) Beom Seok Kim et al.   KOREAN JOURNAL OF CHEMICAL ENGINEERING

A globally enhanced general regression neural network for on-line multiple emissions prediction of utility boiler

(2017) Jingge Song et al.   KNOWLEDGE-BASED SYSTEMS

Impact of co-firing lean coal on NO x emission of a large-scale pulverized coal-fired utility boiler during partial load operation

(2017) Yang Zheng et al.   KOREAN JOURNAL OF CHEMICAL ENGINEERING

Multi-site solar power forecasting using gradient boosted regression trees

(2017) Caroline Persson et al.   SOLAR ENERGY

Modeling and reduction of NOX emissions for a 700 MW coal-fired boiler with the advanced machine learning method

(2016) Peng Tan et al.   ENERGY

Evolving machine learning models to predict hydrogen sulfide solubility in the presence of various ionic liquids

(2016) Hamid Reza Amedi et al.   JOURNAL OF MOLECULAR LIQUIDS

Using a genetic algorithm and CFD to identify low NOx configurations in an industrial boiler

(2015) Sandro Dal Secco et al.   FUEL

A rigorous model to predict the amount of Dissolved Calcium Carbonate Concentration throughout oil field brines: Side effect of pressure and temperature

(2015) Mohammad-Ali Ahmadi et al.   FUEL

Estimation of higher heating value of coal based on proximate analysis using support vector regression

(2015) Peng Tan et al.   FUEL PROCESSING TECHNOLOGY

Prediction carbon dioxide solubility in presence of various ionic liquids using computational intelligence approaches

(2015) Alireza Baghban et al.   JOURNAL OF SUPERCRITICAL FLUIDS

Applying a sophisticated approach to predict CO2solubility in brines: application to CO2sequestration

(2015) Mohammad Ali Ahmadi et al.   International Journal of Low-Carbon Technologies

Evolving predictive model to determine condensate-to-gas ratio in retrograded condensate gas reservoirs

(2014) Mohammad Ali Ahmadi et al.   FUEL

Nonlinear control of a wind turbine based on nonlinear estimation techniques for maximum power extraction

(2014) R. Saravanakumar et al.   International Journal of Green Energy

Estimation of H2S solubility in ionic liquids using a rigorous method

(2014) Mohammad Ali Ahmadi et al.   JOURNAL OF SUPERCRITICAL FLUIDS

Predictions of CO and NOx emissions from steam cracking furnaces using GRI2.11 detailed reaction mechanism – A CFD investigation

(2013) Gasser Hassan et al.   COMPUTERS & CHEMICAL ENGINEERING

Application of CFD in the optimal design of a SCR–DeNOx system for a 300MW coal-fired power plant

(2012) YuanYuan Xu et al.   COMPUTERS & CHEMICAL ENGINEERING

Modeling NOx emissions from coal-fired utility boilers using support vector regression with ant colony optimization

(2011) Hao Zhou et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Machine Learning Approach to Predict Sediment Load - A Case Study

(2010) Hazi Md. Azamathulla et al.   CLEAN-Soil Air Water

Financial time series forecasting using independent component analysis and support vector regression

(2009) Chi-Jie Lu et al.   DECISION SUPPORT SYSTEMS

Application of gain scheduling for modeling the nonlinear dynamic characteristics of NO x emissions from utility boilers

(2009) Liang Kong et al.   KOREAN JOURNAL OF CHEMICAL ENGINEERING

Combining Support Vector Regression and Ant Colony Optimization to Reduce NOx Emissions in Coal-Fired Utility Boilers

(2008) Ligang Zheng et al.   ENERGY & FUELS