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Non-Intrusive Load Monitoring

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Showing 51–99 of 99 papers

TitleStatusHype
Non Intrusive Load Monitoring in Chaotic Switching Networks—0
Non-Intrusive Load Monitoring in Smart Grids: A Comprehensive Review—0
Non-Intrusive Load Monitoring (NILM) using Deep Neural Networks: A Review—0
Non-intrusive Load Monitoring via Multi-label Sparse Representation based Classification—0
Non-Intrusive Load Monitoring with Fully Convolutional Networks—0
A PID-Controlled Non-Negative Tensor Factorization Model for Analyzing Missing Data in NILM—0
Online Gaussian LDA for Unsupervised Pattern Mining from Utility Usage Data—0
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
Privacy-preserving household load forecasting based on non-intrusive load monitoring: A federated deep learning approach—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
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
Sequence-to-Sequence Model with Transformer-based Attention Mechanism and Temporal Pooling for Non-Intrusive Load Monitoring—0
A Comprehensive Review on the NILM Algorithms for Energy Disaggregation—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
Towards trustworthy Energy Disaggregation: A review of challenges, methods and perspectives for Non-Intrusive Load Monitoring—0
Energy Disaggregation & Appliance Identification in a Smart Home: Transfer Learning enables Edge Computing—0
Trimming Feature Extraction and Inference for MCU-based Edge NILM: a Systematic Approach—0
Unsupervised algorithm for disaggregating low-sampling-rate electricity consumption of households—0
Unsupervised Disaggregation of Water Heater Load from Smart Meter Data Processing—0
Subtask Gated Networks for Non-Intrusive Load Monitoring—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
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
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