Operation Identification of Electrical Appliance Considering Time Correlation Between Operation States

a new method for identifying the operation of electrical appliances is proposed in this paper, which considers the time correlation between different operating states of the same electrical appliance. Firstly, the improved k-means clustering algorithm is used to obtain the active power values of each operating state for electrical appliances; Then several independent state time series are established to comprehensively cover the 10-min sampling interval for the same electrical appliance; Finally, constraints are determined based on the time correlation between operating states in the same state time series, the operation of electrical appliances will be identified by integer programming algorithm. The experiments results show that the algorithm proposed identify the instants of appliances ON/OFF and the times of start and stop for appliances accurately.

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