In power fingerprint identification, feature information is insufficient when using a single
feature to identify equipment, and small load data of specific customers, difficult to meet the …

The load disaggregation concept is gaining attention due to the increasing need for
optimized energy utilization and detailed characterization of electricity consumption profiles …

Non-Intrusive Load Monitoring (NILM) refers to the analysis of the aggregated current and
voltage measurements of Home Electrical Appliances (HEAs) recorded by the house …

A crucial step in nonintrusive load monitoring (NILM) is feature extraction, which consists of
signal processing techniques to extract features from voltage and current signals. This paper …

This paper is devoted to the appliance load monitoring based on the harmonic analysis of
the steady-state current. The use of the current harmonic content enables a high accuracy in …

Sensing solutions provide a rich feature set for electromechanical load monitoring and
diagnostics. For example, qualities that describe the operation of an electromechanical load …

The Non-Intrusive Load Monitoring (NILM) systems measure the energy consumption of
individual electrical equipment and appliances connected to a home or building, over time …

Abstract Non-Intrusive Load Monitoring (NILM) allows providing appliance-level electricity
consumption information and decomposing the overall power consumption by using simple …

In order to reduce the peak load on the power grid, various types of demand response (DR)
programs have been developed rapidly, and an increasing number of residents have …

The randomness of loads and the diversity of power consumption patterns result in multiple
events that may coincide or close to each other, making it difficult for a single event detection …