Real-time optimization using reinforcement learning KM Powell, D Machalek, T Quah Computers & Chemical Engineering 143, 107077, 2020 | 76 | 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 |
Automated electrical demand peak leveling in a manufacturing facility with short term energy storage for smart grid participation D Machalek, K Powell Journal of Manufacturing Systems 52, 100-109, 2019 | 20 | 2019 |
A novel implicit hybrid machine learning model and its application for reinforcement learning D Machalek, T Quah, KM Powell Computers & Chemical Engineering 155, 107496, 2021 | 18 | 2021 |
Comparing reinforcement learning methods for real-time optimization of a chemical process T Quah, D Machalek, KM Powell Processes 8 (11), 1497, 2020 | 16 | 2020 |
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 | 16 | 2020 |
Dynamic economic optimization of a continuously stirred tank reactor using reinforcement learning D Machalek, T Quah, KM Powell 2020 American Control Conference (ACC), 2955-2960, 2020 | 15 | 2020 |
Proactive automation of a batch manufacturer in a smart grid environment B Westberg, D Machalek, S Denton, D Sellers, K Powell Smart and Sustainable Manufacturing Systems, 110-131, 2018 | 13 | 2018 |
Integrating a microturbine into a discrete manufacturing process with combined heat and power using smart scheduling and automation M Henning, D Machalek, KM Powell Computer Aided Chemical Engineering 47, 293-298, 2019 | 12 | 2019 |
State-by-State comparison of combined heat and power to photovoltaic installations at manufacturing facilities with heat and power loads D Machalek, K Mohammadi, KM Powell Sustainable Energy Technologies and Assessments 47, 101502, 2021 | 10 | 2021 |
Model predictive control of a rotary kiln for fast electric demand response D Machalek, KM Powell Minerals Engineering 144, 106021, 2019 | 10 | 2019 |
Economic and environmental impacts of a non-traditional combined heat and power system for a discrete manufacturing facility D Machalek, M Henning, K Mohammadi, KM Powell Journal of Cleaner Production 265, 121816, 2020 | 8 | 2020 |
Smart scheduling of a batch manufacturer’s operations by utilization of a genetic algorithm to minimize electrical demand P Brimley, D Machalek, KM Powell Smart and Sustainable Manufacturing Systems 3 (2), 53-67, 2019 | 7 | 2019 |
Enhancing Fault Detection with Clustering and Covariance Analysis E Gallup, T Quah, D Machalek, KM Powell IFAC-PapersOnLine 55 (2), 258-263, 2022 | 2 | 2022 |
Influence of Non-equilibrium Conditions on Liquid Hydrogen Storage Tank Behavior DM Machalek, GB Anleu, ES Hecht Hydrogen Knowledge Centre, 2021 | 1 | 2021 |
Leveraging Flexibility in Industrial and Utility Energy Processes to Increase Efficiency and Enhance Renewable Energy Integration with Novel Models and Algorithms DM Machalek The University of Utah, 2022 | | 2022 |
Influence of Non-Equilibrium Conditions on Liquid Hydrogen Storage Tank Behavior [Slides] DM Machalek, G Bran Anleu, ES Hecht Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2021 | | 2021 |
State-By-State Comparison of the Economic, Environmental, and Energy Impacts of Manufacturing Facilities Integrating Solar Photovoltaic or Combined Heat and Power Systems D Machalek, K Powell 2020 Virtual AIChE Annual Meeting, 2020 | | 2020 |
Leveraging the Manufacturing Sector As a Grid Asset through Demand Response–Four Real-World Case Studies D Machalek, K Powell 2020 Virtual AIChE Annual Meeting, 2020 | | 2020 |
Enhancing the Department of Energy’s Industrial Assessment Center Experience for Undergraduate Students through Real-World Problem Solving, Research, and Publication D Machalek, K Powell 2020 Virtual AIChE Annual Meeting, 2020 | | 2020 |