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 …

Abstract In recent years, Nonintrusive Load Monitoring (NILM) has been considered a
crucial problem for energy monitoring and management, especially in the residential sector …

Although understanding end uses in large commercial and institutional buildings is of great
utility for achieving energy efficiency, most new and existing buildings still lack adequate …

The advent of information and communication technologies has paved the way for smart
cities. Residential customers are the major consumers of electrical energy in such cities …

Abstract Non-Intrusive Load Monitoring (NILM) is referred to as the task of decomposing the
aggregated power load of a residential or commercial building into appliance-level …

In this article an energy disaggregation architecture using elastic matching algorithms is
presented. The architecture uses a database of reference energy consumption signatures …

A data-driven methodology to improve the energy disaggregation accuracy during Non-
Intrusive Load Monitoring is proposed. In detail, the method uses a two-stage classification …

This paper proposes an experimental design process for the application of energy
disaggregation using multi-target regression, a new data learning approach in this …

Obtaining reliable and detailed energy consumption information about building service (BS)
systems is an essential prerequisite for identifying energy-saving potential and improving …

In this article, the topic of time series modelling is discussed. It highlights the criticality of
analysing and forecasting time series data across various sectors, identifying five primary …