3 papers
cs.LG2026
The Challenges of Using Reinforcement Learning for Controlling Industrial Energy Systems
Tobias Lademann, Théo Vincent, Théo Vincent +2
Reinforcement learning has shown promising results for optimizing the control of industrial energy systems, yet most existing studies remain limited to the application in simulatio…
cs.AI2024
Improving Energy Efficiency in Manufacturing: A Novel Expert System Shell
Borys Ioshchikhes, Michael Frank, Tresa Maria Joseph +1
Expert systems are effective tools for automatically identifying energy efficiency potentials in manufacturing, thereby contributing significantly to global climate targets. These…
cs.AI2024
A systematic review on expert systems for improving energy efficiency in the manufacturing industry
Borys Ioshchikhes, Michael Frank, Matthias Weigold
Against the backdrop of the European Union's commitment to achieve climate neutrality by 2050, efforts to improve energy efficiency are being intensified. The manufacturing industr…