The rapid development of technology in the electrical energy sector within the last 20 years
has led to growing electric power needs through the increased number of electrical …

In the last four decades several methods have been used to model occupants' presence and
actions (OPA) in buildings according to different purposes, available computational power …

Non-intrusive load decomposition (NILD) technology has a broad application prospect
because it can deeply excavate the internal electricity consumption data of customers and …

Electrical load planning and demand response programs are often based on the analysis of
individual load-level measurements obtained from houses or buildings. The identification of …

With the large-scale roll-out of smart metering worldwide, there is a growing need to account
for the individual contribution of appliances to the load demand. In this paper, we design a …

Demand-side management technology is a key element of the proposed smart grid, which
will help utilities make more efficient use of their generation assets by reducing consumers' …

This paper presents a practical and effective non-intrusive load monitoring (NILM) solution to
estimate the energy consumption for common multi-functional home appliances (type II …

The enhanced utilization of Appliance Load Monitoring (ALM) in customer sites enabled by
Home Energy Management Systems (HEMS) technologies, offers customized services and …

With ongoing large-scale smart energy metering deployments worldwide, disaggregation of
a household's total energy consumption down to individual appliances using analytical …

Energy disaggregation is the process of extracting the power consumptions of multiple
appliances from the total consumption signal of a building. Artificial Neural Networks (ANN) …