Abstract: A power consumption disaggregation system according to an embodiment of the present invention comprises: a DB for receiving power data from a smart meter installed in a house, receiving data according to external factors affecting the power data from an external server, and storing the data in time series; an extraction unit for extracting a characteristic variable of a reference resolution time interval from the power data and the data according to external factors stored in time series; and an analysis unit for disaggregating total power consumption in the house by inferring a hidden power consumption state by inputting the characteristic variable into a power consumption disaggregation model based on a Hidden Markov Model (HMM) considering dependency of external factors.

Abstract: A device includes a storage unit, a processor and an output unit. The storage unit is configured to store identification information and a plurality of temporary contact data items. The processor is configured to select one of the temporary contact data items based on the identification information and a first time index. The output unit is configured to output the selected temporary contact data item. The selected contact data item may include at least one of, e.g. a temporary telephone number, a temporary email address, a temporary IP address, and a temporary uniform resource identifier (URI).