| Hybrid concentrated solar thermal power systems: A review KM Powell, K Rashid, K Ellingwood, J Tuttle, BD Iverson Renewable and Sustainable Energy Reviews 80, 215-237, 2017 | 279 | 2017 |
| Dynamic modeling and optimization of a coal-fired utility boiler to forecast and minimize NOx and CO emissions simultaneously SM Safdarnejad, JF Tuttle, KM Powell Computers & Chemical Engineering 124, 62-79, 2019 | 86 | 2019 |
| 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 | 70 | 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 | 60 | 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 | 54 | 2020 |
| 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 | 32 | 2020 |
| Dynamic energy system modeling using hybrid physics-based and machine learning encoder–decoder models D Machalek, J Tuttle, K Andersson, KM Powell Energy and AI 9, 100172, 2022 | 25 | 2022 |
| A novel dynamic simulation methodology for high temperature packed-bed thermal energy storage with experimental validation JF Tuttle, N White, K Mohammadi, K Powell Sustainable Energy Technologies and Assessments 42, 2020 | 24 | 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 | 20 | 2022 |
| Analysis of a thermal generator’s participation in the Western Energy Imbalance Market and the resulting effects on overall performance and emissions JF Tuttle, KM Powell The Electricity Journal 32 (5), 38-46, 2019 | 19 | 2019 |
| Analysing the benefits of hybridisation and storage in a hybrid solar gas turbine plant K Ellingwood, SM Safdarnejad, H Kovacs, JF Tuttle, K Powell International Journal of Sustainable Energy 38 (10), 937-965, 2019 | 18 | 2019 |
| 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 | 11 | 2022 |
| Development of a roadmap for dynamic process intensification by using a dynamic, data-driven optimization approach SM Safdarnejad, JF Tuttle, KM Powell Chemical Engineering and Processing-Process Intensification 140, 100-113, 2019 | 10 | 2019 |
| Synergistic reduction of SO2 emissions while co-firing biomass with coal in pilot-scale (1.5 MWth) and full-scale (471 MWe) combustors R Roy, S Bandi, X Li, B Schooff, R Kuttler, M Aichele, S Montgomery, ... Fuel 358, 130191, 2024 | 9 | 2024 |
| Ash aerosol particle size distribution, composition, and deposition behavior while co-firing coal and steam-exploded biomass in a 1.5 MWth combustor R Roy, B Schooff, X Li, S Montgomery, J Tuttle, JOL Wendt, K Dickson, ... Fuel Processing Technology 243, 107674, 2023 | 9 | 2023 |
| 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 | 4 | 2023 |
| Mill Power Consumption and Fuel Particle Size Distribution While Co-Milling Bituminous Coal with Steam Exploded Woody Biomass in a Conventional Bowl Mill B Schooff, R Roy, R Kuttler, S Montgomery, J Tuttle, G Bennett, ... Available at SSRN 4579859, 2023 | 3 | 2023 |
| Novel approach to improved concrete strength for enhanced safety and durability of the nuclear power plant operation S Burnham, Q Faure, J Tuttle, T Jevremovic Proceedings of TOPSAFE, 2017 | 3 | 2017 |
| Transformer Neural Networks with Spatiotemporal Attention for Predictive Control and Optimization of Industrial Processes ER Gallup, JF Tuttle, J Immonen, B Billings, KM Powell 2024 American Control Conference (ACC), 382-387, 2024 | 1 | 2024 |
| Creating an Advanced Sensor Network to calculate real-time, mass-weighted flue gas composition and air heater leakage of a coal-fired utility boiler under dynamic operating … K Stewart, C Moran, K Powell, J Tuttle, A Fry Journal of Process Control 129, 103051, 2023 | 1 | 2023 |
