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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
702019
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
612021
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
552020
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
332019
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
322020
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
282017
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
202022
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
162020
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
112022
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
102017
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
42023
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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