Pervasive '09 Proceedings of the 7th International Conference on Pervasive Computing
The self-programming thermostat: optimizing setback schedules based on home occupancy patterns
Proceedings of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
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Large amounts of energy is wasted in residential buildings because the heating runs round-the-clock although residents are out of home for certain times of a day. It is therefore our aim to develop a retrofit solution for dwellings that automatically detects occupancy and controls the heating accordingly. We demonstrate that consumer-oriented indoor-environmental sensors can be leveraged to infer occupancy and describe a occupancy-based heating control system on a per-room level. Furthermore, we sketch two forthcoming studies to evaluate our system in a real-world apartment.