Signal Processing Implementation for Non-Intrusive Load Monitoring

Non-intrusive load monitoring (NILM), or energy
disaggregation, aims to estimate individual appliance consump-
tion from a single-point measurement without using dedicated
appliance-wise sensors or sub-meters. For around three decades,
signal processing, machine learning algorithms, and statistical
tools have been used by researchers to propose different ap-
proaches to the problem. However, there are still many challenges
to achieving a universal approach that can be applied due to
the particularities of the electrical distribution network and the
electrical appliances of each country. In this paper, an approach
for the NILM of residential electrical energy based on digital
signal processing is presented. The experimental scenarios were
carried out in Argentina where there was no public dataset for
the conHouseHold Appliancesumption of electrical appliances.