AI RESEARCH
The Challenges of Using Reinforcement Learning for Controlling Industrial Energy Systems
arXiv CS.LG
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ArXi:2605.31044v1 Announce Type: new Reinforcement learning has shown promising results for optimizing the control of industrial energy systems, yet most existing studies remain limited to the application in simulation environments. We investigate the challenges of deploying reinforcement learning in a real-world industrial energy system, considering a thermal heating network as a use case.