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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 …
[HTML][HTML] NILM in high frequency domain: A critical review on recent trends and practical challenges
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 …
components are numerous and are mainly related to more efficient household energy …
Real-time corporate carbon footprint estimation methodology based on appliance identification
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) …
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 …
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
Non-intrusive load monitoring (NILM), extracting the appliances' usage profiles by
decomposing a household's aggregate electricity consumption, has become increasingly …
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 …
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 …
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 …
bringing plentiful attention to electricity theft detection. However, the inherent problems of …
Multichannel spatio-temporal feature fusion method for NILM
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 …
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
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 …
uniqueness and comprehensiveness of the load features extracted from the equipment …