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Abstract

A method, system and computer program product for efficiently utilizing a heat-pump based HVAC system with an auxiliary heating system. Possible actions (e.g., cooling, off, heat-pump heating and auxiliary heating) are selected over a period of time (e.g., three days). The effects of selecting actions are recorded in terms of a data set of tuples. A regression is fitted to model a transition function separately for each of the possible actions using the data set of tuples. A model is selected to fit a regression using regression features (e.g., historic indoor temperatures). An action (e.g., off) to take is determined using a lookahead planning approach during a don't care period (period of time occupants do not care about the inside temperature) for every time-step within the don't care period until an end of the don't care period, where the effects of the actions continue to be recorded.

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First Claim