HOME APPLIANCE CLASSIFICATION SYSTEM USING HOME APPLIANCE EIGENVALUE EXTRACTION AND METHOD THEREOF

摘要

The present invention relates to a home appliance classification system and, more specifically, to a home appliance classification system using home appliance eigenvalue extraction classifying home appliance by using a filter and extracting an impedance component of electric power before applying machine learning and latest deep learning technology to a non-intrusive load monitoring (NILM), which is a method for classifying home appliance in use by analyzing power data collected from customers. The home appliance classification system comprises: a power sensor; a high-pass filter; an energy data output unit and an energy analysis data output unit; and a frequency analysis data output unit.;COPYRIGHT KIPO 2018