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 …

This paper presents a critical approach to the non-intrusive load monitoring (NILM) problem,
by thoroughly reviewing the experimental framework of both legacy and state-of-the-art …

Continuous growth in software, hardware and internet technology has enabled the growth of
internet-based sensor tools that provide physical world observations and data …

Smart cities attempt to reach net-zero emissions goals by reducing wasted energy while
improving grid stability and meeting service demand. This is possible by adopting next …

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 …

Energy disaggregation (aka nonintrusive load monitoring, NILM), a single-channel blind
source separation problem, aims to decompose the mains which records the whole house …

Non-intrusive load monitoring (NILM) is a technique to recover source appliances from only
the recorded mains in a household. NILM is unidentifiable and thus a challenge problem …

Occupant behavior is now widely recognized as a major contributing factor to uncertainty of
building performance. While a surge of research on the topic has occurred over the past four …

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

This paper reviews non-intrusive load monitoring (NILM) approaches that employ deep
neural networks to disaggregate appliances from low frequency data, ie, data with sampling …