Luan et al., 2024
| Publication | Publication Date | Title |
|---|---|---|
| Xia et al. | Non-intrusive load disaggregation based on deep dilated residual network | |
| Faustine et al. | A survey on non-intrusive load monitoring methodies and techniques for energy disaggregation problem | |
| Liu et al. | Energy disaggregation of appliances consumptions using ham approach | |
| Rahimpour et al. | Non-intrusive energy disaggregation using non-negative matrix factorization with sum-to-k constraint | |
| Liu et al. | Dynamic time warping based non-intrusive load transient identification | |
| Wu et al. | Non-intrusive load monitoring using factorial hidden markov model based on adaptive density peak clustering | |
| Wang et al. | Residential appliances identification and monitoring by a nonintrusive method | |
| Altrabalsi et al. | Low-complexity energy disaggregation using appliance load modelling | |
| Stankovic et al. | A graph-based signal processing approach for low-rate energy disaggregation | |
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| Luan et al. | A training-free non-intrusive air conditioning load monitoring method based on fuzzy comprehensive evaluation | |
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| Ma et al. | Toward energy-awareness smart building: Discover the fingerprint of your electrical appliances | |
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| Eskander et al. | A complementary unsupervised load disaggregation method for residential loads at very low sampling rate data | |
| Xu et al. | A new non-intrusive load monitoring algorithm based on event matching | |
| CN113193654A (en) | Event-driven non-intrusive power load monitoring method based on transient and steady state combination characteristics | |
| Luan et al. | Non-intrusive power waveform modeling and identification of air conditioning load | |
| Wu et al. | Nonintrusive on-site load-monitoring method with self-adaption | |
| CN109377052B (en) | Power load matching method, device, equipment and readable storage medium | |
| Mariño et al. | NILM: Multivariate DNN performance analysis with high frequency features | |
| Zheng et al. | Non-intrusive load monitoring based on the graph least squares reconstruction method |