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 …

[HTML][HTML] NILM in high frequency domain: A critical review on recent trends and practical challenges

PG Papageorgiou, GC Christoforidis… - … and Sustainable Energy …, 2025 - Elsevier
The benefits of monitoring aggregated electric load consumption and distinguishing it into its
components are numerous and are mainly related to more efficient household energy …

Real-time corporate carbon footprint estimation methodology based on appliance identification

G Liu, J Liu, J Zhao, J Qiu, Y Mao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Achieving carbon neutrality is widely recognized as the key measure to mitigate climate
change. As the basis for achieving carbon neutrality, corporate carbon footprint (CCF) …

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 …

[HTML][HTML] Leveraging sequence-to-sequence learning for online non-intrusive load monitoring in edge device

W Luan, R Zhang, B Liu, B Zhao, Y Yu - International Journal of Electrical …, 2023 - Elsevier
Non-intrusive load monitoring (NILM), extracting the appliances' usage profiles by
decomposing a household's aggregate electricity consumption, has become increasingly …

A residual convolutional neural network with multi-block for appliance recognition in non-intrusive load identification

L Qu, Y Kong, M Li, W Dong, F Zhang, H Zou - Energy and Buildings, 2023 - Elsevier
Non-intrusive load monitoring (NILM) is a promising technique for energy consumption
monitoring that can recognize load states and appliance types without relying on excessive …

Adaptive non-intrusive load monitoring based on feature fusion

JS Kang, M Yu, L Lu, B Wang, Z Bao - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Intelligent power management system is an important part of the smart grid, in which the non-
intrusive load monitoring technology is one of the key technologies. However, most of the …

Electricity theft detection based on contrastive learning and non-intrusive load monitoring

A Gao, F Mei, J Zheng, H Sha, M Guo… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Electricity theft has caused enormous damage to grid's safety and economy globally,
bringing plentiful attention to electricity theft detection. However, the inherent problems of …

Multichannel spatio-temporal feature fusion method for NILM

J Feng, K Li, H Zhang, X Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The main task of noninvasive load monitoring is to disaggregate the power consumption of a
single household appliance from an electricity meter that detects the power consumption of …

Multi-time-scale shapelet-based feature extraction for non-intrusive load monitoring

H Yu, C Xu, G Geng, Q Jiang - IEEE Transactions on Smart Grid, 2023 - ieeexplore.ieee.org
The performance of non-intrusive load monitoring (NILM) system is closely related to the
uniqueness and comprehensiveness of the load features extracted from the equipment …