Non intrusive electrical load identification through an online SFRA based approach

Abstract

The paper describes some initial evaluations concerning the possible use of SFRA based method of analysis to the pattern of energy use in the domestic residential sector. The paper illustrates the SFRA techniques of investigation that are well-consolidated tools in various research sectors as for the identification of faults in transformers and induction motors. The SFRA techniques are then applied to the very current interesting problem of domestic appliance signature identification in non-intrusive approaches of load research. Some first results of the applications of the techniques as obtained from laboratory tests conducted on a domestic electric installation simulator.