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Non-intrusive load monitoring: A review
PA Schirmer, I Mporas - IEEE Transactions on Smart Grid, 2022 - ieeexplore.ieee.org
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 …
has led to growing electric power needs through the increased number of electrical …
NILM applications: Literature review of learning approaches, recent developments and challenges
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 …
by thoroughly reviewing the experimental framework of both legacy and state-of-the-art …
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 …
among urban planners and policy makers to make responsible use of resources, conserve …
A review of current methods and challenges of advanced deep learning-based non-intrusive load monitoring (NILM) in residential context
The rising demand for energy conservation in residential buildings has increased interest in
load monitoring techniques by exploiting energy consumption data. In recent years …
load monitoring techniques by exploiting energy consumption data. In recent years …
Review on deep neural networks applied to low-frequency nilm
P Huber, A Calatroni, A Rumsch, A Paice - Energies, 2021 - mdpi.com
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 …
neural networks to disaggregate appliances from low frequency data, ie, data with sampling …
[HTML][HTML] NILM techniques for intelligent home energy management and ambient assisted living: A review
The ongoing deployment of smart meters and different commercial devices has made
electricity disaggregation feasible in buildings and households, based on a single measure …
electricity disaggregation feasible in buildings and households, based on a single measure …
[HTML][HTML] Towards trustworthy energy disaggregation: A review of challenges, methods, and perspectives for non-intrusive load monitoring
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 …
consumption into its individual sub-components. Over the years, signal processing and …
Fast and accurate time series classification with weasel
Time series (TS) occur in many scientific and commercial applications, ranging from earth
surveillance to industry automation to the smart grids. An important type of TS analysis is …
surveillance to industry automation to the smart grids. An important type of TS analysis is …
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 …
and current flowing through the main feeder and determining the appliances in operation as …
A comprehensive review of residential electricity load profile models
E Proedrou - IEEE Access, 2021 - ieeexplore.ieee.org
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 …
multiple electrical devices, electromobility, self-generation and consumption of electricity as …