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 recent years, the development of smart sustainable cities has become the primary focus
among urban planners and policy makers to make responsible use of resources, conserve …

Non-intrusive load monitoring (NILM) is the task of disaggregating the total power
consumption into its individual sub-components. Over the years, signal processing and …

Smart nonintrusive load monitoring (NILM) represents a cost‐efficient technology for
observing power usage in buildings. It tackles several challenges in transitioning into a more …

A third of the final electricity in the EU is consumed by households. The increased usage of
multiple electrical devices, electromobility, self-generation and consumption of electricity as …

With the widespread deployment of smart meters worldwide, quantification of energy used
by individual appliances via Non-Intrusive Load Monitoring (NILM), ie, virtual submetering, is …

In the last decade, extended efforts have been poured into energy efficiency. Several energy
consumption datasets were henceforth published, with each dataset varying in properties …

Non‐intrusive load monitoring (also known as NILM or energy disaggregation) is the
process of estimating the energy consumption of individual appliances from electric power …

Abstract Nowadays Non-Intrusive Load Monitoring (NILM) is considered a hot topic among
researchers. The energy disaggregation datasets are used as the benchmark to validate the …

This paper presents the Plug-Load Appliance Identification Dataset (PLAID), a labelled
dataset containing records of the electrical voltage and current of domestic electrical …