wireless, collaborative virtual sensors for thermal comfort
Monitoring building performance data for energy-efficiency is an increasing market in which especially wireless sensor networks benefit from their easy installation in existing buildings. Nonetheless, large scale installations are still hampered by sheer installation costs. This paper introduces a virtual sensor approach that utilizes available information in a collaborative network to compute new sensor data. An example is provided in which the approach estimates the thermal comfort with only low-cost temperature sensors in most rooms.
virtual sensors thermal comfort artificial neural networks collaborative sensor networks