| Sustainable NOx emission reduction at a coal-fired power station through the use of online neural network modeling and particle swarm optimization JF Tuttle, R Vesel, S Alagarsamy, LD Blackburn, K Powell Control Engineering Practice 93, 104167, 2019 | 58 | 2019 |
| A systematic comparison of machine learning methods for modeling of dynamic processes applied to combustion emission rate modeling JF Tuttle, LD Blackburn, K Andersson, KM Powell Applied Energy 292, 116886, 2021 | 47 | 2021 |
| On-line classification of coal combustion quality using nonlinear SVM for improved neural network NOx emission rate prediction JF Tuttle, LD Blackburn, KM Powell Computers & chemical engineering 141, 106990, 2020 | 44 | 2020 |
| Dynamic optimization of a district energy system with storage using a novel mixed-integer quadratic programming algorithm L Blackburn, A Young, P Rogers, J Hedengren, K Powell Optimization and Engineering 20, 575-603, 2019 | 30 | 2019 |
| Potential benefits of combining anomaly detection with view planning for UAV infrastructure modeling RA Martin, L Blackburn, J Pulsipher, K Franke, JD Hedengren Remote Sensing 9 (5), 434, 2017 | 27 | 2017 |
| Real-time optimization of multi-cell industrial evaporative cooling towers using machine learning and particle swarm optimization LD Blackburn, JF Tuttle, KM Powell Journal of cleaner production 271, 122175, 2020 | 26 | 2020 |
| Development of novel dynamic machine learning-based optimization of a coal-fired power plant LD Blackburn, JF Tuttle, K Andersson, A Fry, KM Powell Computers & Chemical Engineering 163, 107848, 2022 | 13 | 2022 |
| Mine operations as a smart grid resource: Leveraging excess process storage capacity to better enable renewable energy sources D Machalek, A Young, L Blackburn, P Rogers, KM Powell Minerals Engineering 145, 106103, 2020 | 13 | 2020 |
| Reduced order modeling for reservoir injection optimization and forecasting J Udy, L Blackburn, JD Hedengren, M Darby Foundations of Computer Aided Process Operations/Chemical Process Control, 2017 | 9 | 2017 |
| Dynamic machine learning-based optimization algorithm to improve boiler efficiency LD Blackburn, JF Tuttle, K Andersson, JD Hedengren, KM Powell Journal of Process Control 120, 129-149, 2022 | 6 | 2022 |
| A review on the application of machine learning for combustion in power generation applications K Mohammadi, J Immonen, LD Blackburn, JF Tuttle, K Andersson, ... Reviews in Chemical Engineering 39 (6), 1027-1059, 2023 | 3 | 2023 |
| Integration of Machine Learning and Dynamic Optimization for Control of Dynamical Systems LD Blackburn The University of Utah, 2022 | | 2022 |
| Machine Learning Based Real-Time Optimization of Multi-Cell Industrial Evaporative Cooling Tower L Blackburn, JF Tuttle, K Powell 2020 Virtual AIChE Annual Meeting, 2020 | | 2020 |
| Comparison of Dynamic and Steady-State Machine Learning Based Optimization of a Coal-Fired Boiler L Blackburn, JF Tuttle, K Powell 2020 Virtual AIChE Annual Meeting, 2020 | | 2020 |
| Comparison of State-of-the-Art Dynamic Machine Learning Methods for MPC of Coal-Fired Utility Generator Performance JF Tuttle, L Blackburn, K Powell 2020 Virtual AIChE Annual Meeting, 2020 | | 2020 |
| Long-Term Hybrid AI-Expert Combustion Optimization System for Coal-Fired Electricity Generation NOx Reduction JF Tuttle, R Vesel, S Alagarsamy, L Blackburn, K Powell 2020 Virtual AIChE Annual Meeting, 2020 | | 2020 |
| Mine operations operations as a smart grid resource: Leveraging excess process storage capacity to better enable renewable energy sources D Machalek, A Young, L Blackburn, P Rogers, KM Powell MINERALS ENGINEERING 145, 2020 | | 2020 |
| ON-LINE CLASSIFICATION OF COAL COMBUSTION QUALITY USING NONLINEAR SVM FOR IMPROVED NEURAL NETWORK OPTIMIZER PERFORMANCE JF Tuttle, LD Blackburn, KM Powell | | |
Kody PowellAssociate Professor at the University of Utah Department of Chemical EngineeringVerified email at utah.edu
