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 …

A review of household water demand management and consumption measurement

H Abu-Bakar, L Williams, SH Hallett - Journal of Cleaner Production, 2021 - Elsevier
Rapid population growth and economic prosperity among other factors are exacerbating
existing water stress in the east and southeast regions of England, hence, the water sector is …

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 …

Low-complexity non-intrusive load monitoring using unsupervised learning and generalized appliance models

Q Liu, KM Kamoto, X Liu, M Sun… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Awareness of electric energy usage has both societal and economic benefits, which include
reduced energy bills and stress on non-renewable energy sources. In recent years, there …

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 …

Nonintrusive load monitoring algorithm using mixed-integer linear programming

FM Wittmann, JC López… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper presents a nonintrusive load monitoring (NILM) algorithm based on mixed-
integer linear programming. The formulation deals with the problem of multiple switching …

Privacy preserving in non-intrusive load monitoring: A differential privacy perspective

H Wang, J Zhang, C Lu, C Wu - IEEE Transactions on Smart …, 2020 - ieeexplore.ieee.org
Smart meter devices enable a better understanding of the demand at the potential risk of
private information leakage. One promising solution to mitigating such risk is to inject noises …

Stealthy black-box attacks on deep learning non-intrusive load monitoring models

J Wang, P Srikantha - IEEE Transactions on Smart Grid, 2021 - ieeexplore.ieee.org
With the advent of the advanced metering infrastructure, electricity usage data is being
continuously generated at large volumes by smart meters vastly deployed across the …

Towards comparability in non-intrusive load monitoring: On data and performance evaluation

C Klemenjak, S Makonin… - 2020 IEEE power & …, 2020 - ieeexplore.ieee.org
Non-Intrusive Load Monitoring (NILM) comprises of a set of techniques that provide insights
into the energy consumption of households and industrial facilities. Latest contributions …

A comprehensive review on the nilm algorithms for energy disaggregation

A Verma, A Anwar, MA Mahmud, M Ahmed… - arXiv preprint arXiv …, 2021 - arxiv.org
The housing structures have changed with urbanization and the growth due to the
construction of high-rise buildings all around the world requires end-use appliance energy …