A new approach of electrical appliance identification in residential buildings

Abstract

This paper proposes a simple algorithm about non-intrusive appliance load monitoring (NIALM) method. The main objective is to analyze the overall power consumption of a given building and to identify the different operating appliances. This approach aims to reduce the overall energy expense of maintaining a specified level of comfort. In our approach, we firstly replace the main signal by a shorter form in order to reduce computing time. This criterion is important to guarantee real-time operation mode. Furthermore, we can classify the operating devices through their type and the mean electrical power consumed. Finally, for identification, we use the template’s waveform matching to identify the individual energy consumption with an optimized manner. To validate the proposed algorithm, satisfactory simulation results showing the reliability of the proposed NIALM method are found.