Control of a large scale solar thermal energy storage system. - Kody M. Powell; Thomas F. Edgar (ACC, 2011)

Nonlinear model predictive control for a heavy-duty gas turbine power plant. - Jong S. Kim; Kody M. Powell; Thomas F. Edgar (ACC, 2013)

Dynamic optimization of a solar thermal energy storage system over a 24 hour period using weather forecasts. - Kody M. Powell; John D. Hedengren; Thomas F. Edgar (ACC, 2013)

Dynamic optimization of a campus cooling system with thermal storage. - Kody M. Powell; Wesley J. Cole; Udememfon F. Ekarika; Thomas F. Edgar (ECC, 2013)

Nonlinear modeling, estimation and predictive control in APMonitor. - John D. Hedengren; Reza Asgharzadeh Shishavan; Kody M. Powell; Thomas F. Edgar (Comput. Chem. Eng., 2014)

Real-time optimization of a solar-natural gas hybrid power plant to enhance solar power utilization. - Khalid Rashid; Moataz N. Sheha; Kody M. Powell (ACC, 2018)

Dynamic Real-Time Optimization of Air Conditioning Systems in Residential Houses under Different Electricity Pricing Structures. - Moataz N. Sheha; Khalid Rashid; Kody M. Powell (ACC, 2018)

Dynamic modeling and optimization of a coal-fired utility boiler to forecast and minimize NOx and CO emissions simultaneously. - Seyed Mostafa Safdarnejad; Jake F. Tuttle; Kody M. Powell (Comput. Chem. Eng., 2019)

Dynamic Economic Optimization of a Continuously Stirred Tank Reactor Using Reinforcement Learning. - Derek Machalek; Titus Quah; Kody M. Powell (ACC, 2020)

Real-time optimization using reinforcement learning. - Kody M. Powell; Derek Machalek; Titus Quah (Comput. Chem. Eng., 2020)

On-line classification of coal combustion quality using nonlinear SVM for improved neural network NOx emission rate prediction. - Jacob F. Tuttle; Landen Blackburn; Kody M. Powell (Comput. Chem. Eng., 2020)

Benchmarks for Grid Energy Management with Python Gekko. - Nathaniel S. Gates; Daniel C. Hill; Blake W. Billings; Kody M. Powell; John D. Hedengren (CDC, 2021)

A novel implicit hybrid machine learning model and its application for reinforcement learning. - Derek Machalek; Titus Quah; Kody M. Powell (Comput. Chem. Eng., 2021)

Scenario Generation for Cooling, Heating, and Power Loads Using Generative Moment Matching Networks. - Wenlong Liao; Yusen Wang; Yuelong Wang; Kody M. Powell; Qi Liu (CoRR, 2021)

Development of novel dynamic machine learning-based optimization of a coal-fired power plant. - Landen Blackburn; Jacob F. Tuttle; Klas Andersson; Andrew Fry; Kody M. Powell (Comput. Chem. Eng., 2022)

Physics-guided neural networks with engineering domain knowledge for hybrid process modeling. - Ethan Gallup; Tyler Gallup; Kody M. Powell (Comput. Chem. Eng., 2023)

Hydrogen Underground Storage for Grid Resilience: A Dynamic Simulation and Optimization Study. - Yunzhi Chen; Daniel C. Hill; Blake W. Billings; John D. Hedengren; Kody M. Powell (ACC, 2024)

Transformer Neural Networks with Spatiotemporal Attention for Predictive Control and Optimization of Industrial Processes. - Ethan Gallup; Jacob F. Tuttle; Jake Immonen; Blake W. Billings; Kody M. Powell (ACC, 2024)

Effects of input gradient regularization on neural networks time-series forecasting of thermal power systems. - Ethan Gallup; Jake F. Tuttle; Kody M. Powell (Comput. Chem. Eng., 2024)

Industrial processes and the smart grid: overcoming the variability of renewables by using built-in process storage and intelligent control strategies. - Yunzhi Chen; Blake W. Billings; Kody M. Powell (Int. J. Prod. Res., 2024)

Control and optimization of a flexible green steel plant capable of responding to day-ahead electricity carbon emissions and prices. - Jake Immonen; Kody M. Powell (Comput. Chem. Eng., 2025)