1. A novel dynamic simulation methodology for high temperature packed-bed thermal energy storage with experimental validation. (December 2020) Authors: Tuttle, Jacob F.; White, Nate; Mohammadi, Kasra; Powell, Kody Journal: Sustainable energy technologies and assessments Issue: Volume 42(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. A systematic comparison of machine learning methods for modeling of dynamic processes applied to combustion emission rate modeling. (15th June 2021) Authors: Tuttle, Jacob F.; Blackburn, Landen D.; Andersson, Klas; Powell, Kody M. Journal: Applied energy Issue: Volume 292(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Development of novel dynamic machine learning-based optimization of a coal-fired power plant. (July 2022) Authors: Blackburn, Landen D.; Tuttle, Jacob F.; Andersson, Klas; Fry, Andrew; Powell, Kody M. Journal: Computers & chemical engineering Issue: Volume 163(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Dynamic machine learning-based optimization algorithm to improve boiler efficiency. (December 2022) Authors: Blackburn, Landen D.; Tuttle, Jacob F.; Andersson, Klas; Hedengren, John D.; Powell, Kody M. Journal: Journal of process control Issue: Volume 120(2022) Page Start: 129 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. On-line classification of coal combustion quality using nonlinear SVM for improved neural network NOx emission rate prediction. (4th October 2020) Authors: Tuttle, Jacob F.; Blackburn, Landen D.; Powell, Kody M. Journal: Computers & chemical engineering Issue: Volume 141(2020) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. Real-time optimization of multi-cell industrial evaporative cooling towers using machine learning and particle swarm optimization. (20th October 2020) Authors: Blackburn, Landen D.; Tuttle, Jacob F.; Powell, Kody M. Journal: Journal of cleaner production Issue: Volume 271(2020) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗