Experimental analysis of data-driven control for a building heating system

  title={Experimental analysis of data-driven control for a building heating system},
  author={Giuseppe Tommaso Costanzo and Sandro Iacovella and Frederik Ruelens and T. Leurs and Bert Claessens},
Driven by the opportunity to harvest the flexibility related to building climate control for demand response applications, this work presents a data-driven control approach building upon recent advancements in reinforcement learning. More specifically, modelassisted batch reinforcement learning is applied to the setting of building climate control subjected to a dynamic pricing. The underlying sequential decision making problem is cast on a markov decision problem, after which the control… CONTINUE READING
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