System for disaggregating power consumption

A power consumption disaggregation system for disaggregating multi-resolution data comprising:

• a database configured to receive power data from a smart meter installed in a house, receive data according to external factors affecting the power data from an external server, and store the data in time series;
• an extraction unit configured to extract a characteristic variable of a reference low resolution time interval from the power data and the data according to external factors stored in time series;
• an analysis unit configured to disaggregate 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;
• and
• a communication unit configured to provide power consumption solution service to a user based on disaggregated power consumption information to be used to control energy consumption for a house in order to reduce power consumption,
• wherein the power consumption disaggregation model based on a Hidden Markov Model (HMM) considering dependency of external factors includes, in a reference low resolution time interval section:
• an emission part including a normal distribution including an average and a variance of observation values that can be generated for each power consumption state considering dependency of external factors;
• and
• a transition part including a transition probability matrix for determining transition of a power consumption state considering dependency of external factors, wherein the observation value becomes the total power consumption of the house, and
• wherein the power consumption disaggregation system is configured to enhance utilization scalability of multi-resolution data by allowing both high-resolution data and low-resolution data to be fed to the power consumption disaggregation system.