UNet-NILM
Author:
Affiliation:
1. CeADAR, University College Dublin
2. ITI, LARSyS, Técnico Lisboa, Portugal
3. University of Klagenfurt, Austria
4. Trinity College Dublin, Ireland
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3427771.3427859
Reference33 articles.
1. Nonintrusive Load Monitoring: A Temporal Multilabel Classification Approach
2. A non-intrusive load monitoring system using multi-label classification approach
Cited by 70 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A Non-Intrusive Load Decomposition Model Based on Multiple Electrical Parameters to Point;Energies;2024-09-06
2. Energy Disaggregation of Industrial Machinery Utilizing Artificial Neural Networks for Non-intrusive Load Monitoring;Energy and AI;2024-09
3. Non-Intrusive Load Monitoring Based on an Efficient Deep Learning Model With Local Feature Extraction;IEEE Transactions on Industrial Informatics;2024-07
4. UNet-WD: Deep Learning for Multi-Appliance Water Disaggregation;2024 IFIP Networking Conference (IFIP Networking);2024-06-03
5. AugLPN-NILM: Augmented lightweight parallel network for NILM embedding attention module over sequence to point;Sustainable Energy, Grids and Networks;2024-06
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