A Flexible Decision-Making Mechanism Targeting Smart Thermostats

Buildings are immensely energy-demanding and are expected to consume even more in the near future. The operation of cooling/heating mechanisms highly contribute to this parameter, since nonoptimal configuration at temperature set-points usually leads to increased energy cost, as well as violations at occupant's thermal comfort. In this letter, we introduce a flexible decision-making mechanism for supporting the proper configuration of these devices. The competitive advantage of our solution is the remarkable lower computational complexity without any degradation at the quality of derived decisions.