| Abstract: |  The goal of the thesis is to create a prediction model of room occupancy in residential houses. The purpose of this model is its utilization in a room temperature control system. In case of older houses with significant heat losses caused by insufficient insulation or not properly sealed windows it seems that potential savings can be achieved by temperature control for each room independently. This can be done on the basis of predicted room occupancy within a given time of the day.
The thesis focuses on the creation of a model that is able to learn the room occupancy patterns for particular days of a week and times of a day on the basis of data from motion sensors. Using this model it will be possible to predict the room occupancy in advance and thus to effectively control the room temperature. The primary goal of the thesis is not to develop the control system but rather provide such a system with the room occupancy prediction data
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