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Non-Intrusive Load Monitoring

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Showing 76–99 of 99 papers

TitleStatusHype
On the Sensitivity of Deep Load Disaggregation to Adversarial Attacks—0
PowerGAN: Synthesizing Appliance Power Signatures Using Generative Adversarial Networks—0
Preventing Non-intrusive Load Monitoring Privacy Invasion: A Precise Adversarial Attack Scheme for Networked Smart Meters—0
Prior Flow Variational Autoencoder: A density estimation model for Non-Intrusive Load Monitoring—0
A Comprehensive Review on the NILM Algorithms for Energy Disaggregation—0
Privacy Preserving in Non-Intrusive Load Monitoring: A Differential Privacy Perspective—0
Proactive Load-Shaping Strategies with Privacy-Cost Trade-offs in Residential Households based on Deep Reinforcement Learning—0
ProfileSR-GAN: A GAN based Super-Resolution Method for Generating High-Resolution Load Profiles—0
Prompting Large Language Models for Training-Free Non-Intrusive Load Monitoring—0
Quantification of Disaggregation Difficulty with Respect to the Number of Meters—0
Representation Learning for Appliance Recognition: A Comparison to Classical Machine Learning—0
Scale- and Context-Aware Convolutional Non-intrusive Load Monitoring—0
Scaled and Inter-token Relation Enhanced Transformer for Sample-restricted Residential NILM—0
Learning Task-Aware Energy Disaggregation: a Federated ApproachCode0
Towards Comparability in Non-Intrusive Load Monitoring: On Data and Performance EvaluationCode0
On Metrics to Assess the Transferability of Machine Learning Models in Non-Intrusive Load MonitoringCode0
Transfer Learning for Non-Intrusive Load MonitoringCode0
Challenges in Gaussian Processes for Non Intrusive Load MonitoringCode0
Energy Efficient Deep Multi-Label ON/OFF Classification of Low Frequency Metered Home AppliancesCode0
Industrial Energy Disaggregation with Digital Twin-generated Dataset and Efficient Data AugmentationCode0
Few Labels are all you need: A Weakly Supervised Framework for Appliance Localization in Smart-Meter SeriesCode0
Improving Non-Intrusive Load Disaggregation through an Attention-Based Deep Neural NetworkCode0
Toward Explainable NILM: Real-Time Event-Based NILM Framework for High-Frequency DataCode0
Wavenilm: A causal neural network for power disaggregation from the complex power signalCode0
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