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 …

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 …

Toward non-intrusive load monitoring via multi-label classification

SM Tabatabaei, S Dick, W Xu - IEEE Transactions on Smart …, 2016 - ieeexplore.ieee.org
Demand-side management technology is a key element of the proposed smart grid, which
will help utilities make more efficient use of their generation assets by reducing consumers' …

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 algorithm based on features of V–I trajectory

AL Wang, BX Chen, CG Wang, D Hua - Electric Power Systems Research, 2018 - Elsevier
Non-intrusive load monitoring (NILM) can monitor the status of electrical appliances on-line
and provide detailed power consumption data, which is the basis for customers to perform …

[HTML][HTML] Robust event-based non-intrusive appliance recognition using multi-scale wavelet packet tree and ensemble bagging tree

Y Himeur, A Alsalemi, F Bensaali, A Amira - Applied Energy, 2020 - Elsevier
Providing the user with appliance-level consumption data is the core of each energy
efficiency system. To that end, non-intrusive load monitoring is employed for extracting …

Non-intrusive load disaggregation by convolutional neural network and multilabel classification

L Massidda, M Marrocu, S Manca - Applied Sciences, 2020 - mdpi.com
Non-intrusive load monitoring (NILM) is the main method used to monitor the energy
footprint of a residential building and disaggregate total electrical usage into appliance …

Non-intrusive energy disaggregation using non-negative matrix factorization with sum-to-k constraint

A Rahimpour, H Qi, D Fugate… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Energy disaggregation or non-intrusive load monitoring addresses the issue of extracting
device-level energy consumption information by monitoring the aggregated signal at one …

A context-aware multi-event identification method for nonintrusive load monitoring

R Jiao, C Li, G Xun, T Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Non-intrusive load monitoring (NILM) is a method that provides appliance power
consumption information, which will help enhance the smart grid applications. This paper …