Modified Cross-Entropy Method for Classification of Events in NILM Systems
IEEE Transactions on Smart Grid(2019)
摘要
Non-intrusive load monitoring is an algorithm or process that disaggregates the total power in a facility to identify consumption of individual appliances. In this paper, a new algorithm is proposed to classify events of appliance states based on modification of the Cross-Entropy method. The main contribution is a formulation and solution of the problem with the Cross-Entropy method as a constrained optimization problem. This new technique is called the Modified Cross-Entropy (MCE) method. The proposed algorithm is simple, as it operates in real time, using low rate sampling of the active power. In addition, there is no need to train the system, or to use complex hardware. The algorithm is tested using the REDD and AMPds datasets, and the results are compared to several state-of-the-art techniques.
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关键词
Optimization,Monitoring,Classification algorithms,Signal processing algorithms,Power demand,Training,Power measurement
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