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Landen Blackburn
Landen Blackburn
PhD Candidate, University of Utah
Verified email at utah.edu
Title
Cited by
Cited by
Year
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
582019
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
462021
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
442020
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
302019
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
272017
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
242020
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
132020
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
122022
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
92017
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
62022
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
32023
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
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