The Blind Source Separation-based Non-intrusive Load Monitoring Method

In order to obtain the detailed energy consumption information of household internal equipment, master the composition of household energy consumption, in order to optimize the user’s power consumption behavior and reduce the household energy consumption, this paper proposes a non-invasive load monitoring optimization method based on blind source separation. This paper proposed using blind source separation algorithm to realize non-invasive load decomposition, analyzed the load independence, with negative entropy maximization as the criterion of the loads are independent of each other, to the load of the separated waveform total full load operation. The rationality of this method is verified by a simulation example of the Reference Energy Disaggregation Data (REDD) set.