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Non-Intrusive Load Monitoring

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TitleStatusHype
NILMFormer: Non-Intrusive Load Monitoring that Accounts for Non-StationarityCode1
MATNilm: Multi-appliance-task Non-intrusive Load Monitoring with Limited Labeled DataCode1
ELECTRIcity: An Efficient Transformer for Non-Intrusive Load MonitoringCode1
COLD: Concurrent Loads Disaggregator for Non-Intrusive Load MonitoringCode1
Energy Disaggregation using Variational AutoencodersCode1
NILM as a regression versus classification problem: the importance of thresholdingCode1
On time series representations for multi-label NILMCode1
Industrial Energy Disaggregation with Digital Twin-generated Dataset and Efficient Data AugmentationCode0
Non-Intrusive Load Monitoring Based on Image Load Signatures and Continual Learning—0
Few Labels are all you need: A Weakly Supervised Framework for Appliance Localization in Smart-Meter SeriesCode0
Prompting Large Language Models for Training-Free Non-Intrusive Load Monitoring—0
Edge-Optimized Deep Learning & Pattern Recognition Techniques for Non-Intrusive Load Monitoring of Energy Time Series—0
Deep Learning Innovations for Energy Efficiency: Advances in Non-Intrusive Load Monitoring and EV Charging Optimization for a Sustainable Grid—0
A Non-Invasive Load Monitoring Method for Edge Computing Based on MobileNetV3 and Dynamic Time Regulation—0
Latent Tensor Factorization with Nonlinear PID Control for Missing Data Recovery in Non-Intrusive Load Monitoring—0
Enhancing Non-Intrusive Load Monitoring with Features Extracted by Independent Component Analysis—0
Toward Explainable NILM: Real-Time Event-Based NILM Framework for High-Frequency DataCode0
Preventing Non-intrusive Load Monitoring Privacy Invasion: A Precise Adversarial Attack Scheme for Networked Smart Meters—0
Benchmarking Active Learning for NILM—0
Scaled and Inter-token Relation Enhanced Transformer for Sample-restricted Residential NILM—0
Towards a Deeper Understanding of Transformer for Residential Non-intrusive Load Monitoring—0
Towards Real-world Deployment of NILM Systems: Challenges and Practices—0
Improving Robustness of Spectrogram Classifiers with Neural Stochastic Differential Equations—0
HiFAKES: High-frequency synthetic appliance signatures generator for non-intrusive load monitoring—0
Federated Sequence-to-Sequence Learning for Load Disaggregation from Unbalanced Low-Resolution Smart Meter Data—0
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