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 system for estimating a real-time renewable energy generation quantity according to an embodiment of the present disclosure includes a site setting unit for setting a benchmarking group based on geographical locations of a plurality of renewable energy generation sites and setting a benchmarking site for each benchmarking group, a site generation quantity calculation unit for calculating a real-time generation quantity prediction value of each of sites except the benchmarking site among the sites included in the benchmarking group by using a preset prediction model based on a real-time generation quantity actual-measurement value of the corresponding benchmarking site, and a total generation quantity estimation unit for estimating a total real-time generation quantity of all the sites by summing the calculated real-time generation quantity prediction values for the respective sites and the real-time generation quantity actual-measurement value of the benchmarking site.