Recently, energy conservation has been concerned, and there are several aspects to improve the energy consumption issues. Therefore, many research results were proposed to mitigate the related problems, one of these is to eliminate the extra standby power of household appliances. This paper employed an effective method to identify load characteristics of appliances in different operation states by Support Vector Machines (SVM), and a smart home electric energy saving system (SHESS) was built up to implement the method. Furthermore, a virtual living room was simulated in the laboratory as an experimental object, and a prototype system was built up. The performance test results are proposed to validate the feasibility of the proposed system.
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