Appliance recognition by a home energy management system (HEMS) is a principal challenge in the area of future smart and home grid systems, particularly for electrical power load balancing. In this paper, a novel HEMS is proposed, with a smart socket outlet that is capable of appliance recognition for interworking with a Universal Plug and Play (UPnP) network. The proposed method of appliance recognition, which is based on a Pearson correlation and a weighted cosine similarity technique, significantly increases the accuracy of the recognition degree in a real experimental environment. It also requires much less computing power and recognition time for appliance identification in comparison with various conventional methods based on complex artificial intelligence and machine learning schemes. The proposed system also generates a virtual UPnP device interface for the recognized appliance to be exposed to the UPnP network. Thus, any appliance plugged into the smart socket outlet can utilize the features of the UPnP network even if it does not support UPnP functionalities. The proposed system is demonstrated by implementing a simple and fast appliance recognition unit and a virtual UPnP device generation unit. The experimental results show the feasibility of appliance recognition and the capability of virtual UPnP device generation having superior performance when compared with conventional methods.
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