Methodology for detection of occupant actions in residential buildings using indoor environment monitoring systems

The proposed method was used to detect several actions, namely, windows opening, showering, heating and cooking. The principle of the proposed methodology was based on the fact that the effects of occupant actions produce extremes of a parameter time series. An algorithm generated by the application of the proposed method performed the detection of occupant actions. The method was validated using a set of data from the opposite season to be used to establish an algorithm. The proposed method achieved an accuracy of more than 99.7% of all the intended actions to be detected.