Towards a POMDP-based Intelligent Assistant for Power Plants
نویسندگان
چکیده
This extended abstract presents a decision support system based on decision-theoretic planning techniques. Its goal is to provide power plant operators with useful recommendations to (i) maintain a plant running under safe conditions, and (ii) to deal with process transients when an unexpected event occurs. We use the formalism of partially observable Markov decision processes as the core of an intelligent assistant for combined-cycle power plants, comment some preliminary results, and discuss some ideas about how to deal with uncertain
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