Energy management using non-intrusive load monitoring techniques–State-of-the-art and future research directions

R Gopinath, M Kumar, CPC Joshua… - Sustainable Cities and …, 2020 - Elsevier
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 …

NILM techniques for intelligent home energy management and ambient assisted living: A review

A Ruano, A Hernandez, J Ureña, M Ruano, J Garcia - Energies, 2019 - mdpi.com
The ongoing deployment of smart meters and different commercial devices has made
electricity disaggregation feasible in buildings and households, based on a single measure …

Electric energy disaggregation via non-intrusive load monitoring: A state-of-the-art systematic review

S Dash, NC Sahoo - Electric Power Systems Research, 2022 - Elsevier
Appliance energy consumption tracking in a building is one of the vital enablers of energy
and cost saving. An economical and viable solution would be to estimate individual …

Non-intrusive load monitoring by voltage–current trajectory enabled transfer learning

Y Liu, X Wang, W You - IEEE Transactions on Smart Grid, 2018 - ieeexplore.ieee.org
Non-intrusive load monitoring (NILM) is a technique for analyzing changes in the voltage
and current flowing through the main feeder and determining the appliances in operation as …

An event-driven convolutional neural architecture for non-intrusive load monitoring of residential appliance

D Yang, X Gao, L Kong, Y Pang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Nowadays, the advancement of non-intrusive load monitoring (NILM) is hastened by the
everincreasing requirements for smart power utilization and demand side management …

Real-time non-intrusive load monitoring: A light-weight and scalable approach

CL Athanasiadis, TA Papadopoulos, DI Doukas - Energy and Buildings, 2021 - Elsevier
Non-intrusive load monitoring (NILM) is a topic that lately attracts both the academic and the
industrial interest. NILM is used to reveal useful information regarding the consumption …

A scalable real-time non-intrusive load monitoring system for the estimation of household appliance power consumption

C Athanasiadis, D Doukas, T Papadopoulos… - Energies, 2021 - mdpi.com
Smart-meter technology advancements have resulted in the generation of massive volumes
of information introducing new opportunities for energy services and data-driven business …

Engineering Brain: Metaverse for future engineering

X Wang, J Wang, C Wu, S Xu, W Ma - AI in Civil Engineering, 2022 - Springer
The past decade has witnessed a notable transformation in the Architecture, Engineering
and Construction (AEC) industry, with efforts made both in the academia and industry to …

Integrated worker detection and tracking for the safe operation of construction machinery

H Son, C Kim - Automation in Construction, 2021 - Elsevier
Safety is the most important issue in the operation of machinery on a construction site. Due
to the poor visibility of the surrounding environment, the machinery operated at construction …

Load modelling and non-intrusive load monitoring to integrate distributed energy resources in low and medium voltage networks

AFM Jaramillo, DM Laverty, DJ Morrow… - Renewable Energy, 2021 - Elsevier
In many countries distributed energy resources (DER)(eg photovoltaics, batteries, wind
turbines, electric vehicles, electric heat pumps, air-conditioning units and smart domestic …