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Non-Intrusive Load Monitoring

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TitleStatusHype
COLD: Concurrent Loads Disaggregator for Non-Intrusive Load MonitoringCode1
NILMFormer: Non-Intrusive Load Monitoring that Accounts for Non-StationarityCode1
NILM as a regression versus classification problem: the importance of thresholdingCode1
ELECTRIcity: An Efficient Transformer for Non-Intrusive Load MonitoringCode1
MATNilm: Multi-appliance-task Non-intrusive Load Monitoring with Limited Labeled DataCode1
On time series representations for multi-label NILMCode1
Energy Disaggregation using Variational AutoencodersCode1
A Multi-Head Convolutional Neural Network Based Non-Intrusive Load Monitoring Algorithm Under Dynamic Grid Voltage Conditions—0
A Non-Intrusive Load Monitoring Approach for Very Short Term Power Predictions in Commercial Buildings—0
A Non-Invasive Load Monitoring Method for Edge Computing Based on MobileNetV3 and Dynamic Time Regulation—0
A Novel Hybrid Deep Learning Approach for Non-Intrusive Load Monitoring of Residential Appliance Based on Long Short Term Memory and Convolutional Neural Networks—0
Augmenting an Assisted Living Lab with Non-Intrusive Load Monitoring—0
Benchmarking Active Learning for NILM—0
Conv-NILM-Net, a causal and multi-appliance model for energy source separation—0
Convolutional Sequence to Sequence Non-intrusive Load Monitoring—0
Deep Learning Based Energy Disaggregation and On/Off Detection of Household Appliances—0
Deep Learning Innovations for Energy Efficiency: Advances in Non-Intrusive Load Monitoring and EV Charging Optimization for a Sustainable Grid—0
Deep Sparse Coding for Non-Intrusive Load Monitoring—0
Dimensionality Expansion of Load Monitoring Time Series and Transfer Learning for EMS—0
Divide-Conquer Transformer Learning for Predicting Electric Vehicle Charging Events Using Smart Meter Data—0
DP^2-NILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring—0
Edge-Optimized Deep Learning & Pattern Recognition Techniques for Non-Intrusive Load Monitoring of Energy Time Series—0
Efficient Localness Transformer for Smart Sensor-Based Energy Disaggregation—0
End-to-end NILM System Using High Frequency Data and Neural Networks—0
Enhancing Non-Intrusive Load Monitoring with Features Extracted by Independent Component Analysis—0
Event Detection for Non-intrusive Load Monitoring using Tukey s Fences—0
Event-driven Two-stage Solution to Non-intrusive Load Monitoring—0
Evolutionary Deep Nets for Non-Intrusive Load Monitoring—0
Exploring Bayesian Surprise to Prevent Overfitting and to Predict Model Performance in Non-Intrusive Load Monitoring—0
FederatedNILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring based on Federated Deep Learning—0
Federated Sequence-to-Sequence Learning for Load Disaggregation from Unbalanced Low-Resolution Smart Meter Data—0
Fed-NILM: A Federated Learning-based Non-Intrusive Load Monitoring Method for Privacy-Protection—0
FedNILM: Applying Federated Learning to NILM Applications at the Edge—0
Functional Intrusive Load Monitor (FILM): A Model-based Platform for Non-Intrusive Load Monitoring System Development—0
HiFAKES: High-frequency synthetic appliance signatures generator for non-intrusive load monitoring—0
IMG-NILM: A Deep learning NILM approach using energy heatmaps—0
Improving Robustness of Spectrogram Classifiers with Neural Stochastic Differential Equations—0
Incorporating Coincidental Water Data into Non-intrusive Load Monitoring—0
Latent Tensor Factorization with Nonlinear PID Control for Missing Data Recovery in Non-Intrusive Load Monitoring—0
Low-Frequency Load Identification using CNN-BiLSTM Attention Mechanism—0
Machine Learning Approaches for Non-Intrusive Home Absence Detection Based on Appliance Electrical Use—0
Privacy-preserving household load forecasting based on non-intrusive load monitoring: A federated deep learning approach—0
Adaptive Event Detection for Representative Load Signature Extraction—0
A Data-Efficient Approach to Behind-the-Meter Solar Generation Disaggregation—0
A Deep Learning Technique using Low Sampling rate for residential Non Intrusive Load Monitoring—0
Adversarial Energy Disaggregation for Non-intrusive Load Monitoring—0
A Federated Learning Framework for Non-Intrusive Load Monitoring—0
A Hybrid Event Detection Approach for Non-Intrusive Load Monitoring—0
Sequence to Point Learning Based on Bidirectional Dilated Residual Network for Non Intrusive Load Monitoring—0
Sequence-to-Sequence Load Disaggregation Using Multi-Scale Residual Neural Network—0
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