Environmental data analysis for learning behavioral patterns in smart homes

Data acquisition in smart homes is common activity to ensure a stable, natural and energy saving environment inside the building. However, typical usage of acquired data is limited to temperature/humidity monitoring connected to thermostat or AC control. Modern smart homes try to interconnect all standalone control systems into one smart solution with information downloaded from internet as weather forecast, daytime, position of the sun on the sky, actual season, etc. We present a method, how to detect window ventilation from measured data so the control system can automatically turn-off heating which leads to saving money for energy.