Non-Intrusive Appliances Load Monitoring System Using Neural Networks

摘要

A non-intrusive appliances load monitoring system has been developed to ascertain the behavior of each electrical appliance in a household by disaggregating the total household load demand. This system does not need to intrude into a house when metering power consumption of each appliance. Therefore, the system has significnat cost advantages and is less trobulesome to the customers. This paper describes a non-intrusive monitoring system which is especially useful for inverter-driven appliances that frequently change their operational state. Conventional non-intrusive load monitoring systems cannot treat these inverter-driven appliances easily because of their complicated operation.