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Non-Intrusive Load Monitoring

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Showing 51–99 of 99 papers

TitleStatusHype
FederatedNILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring based on Federated Deep Learning—0
Adversarial Energy Disaggregation for Non-intrusive Load Monitoring—0
Event-driven Two-stage Solution to Non-intrusive Load Monitoring—0
Adaptive Event Detection for Representative Load Signature Extraction—0
ProfileSR-GAN: A GAN based Super-Resolution Method for Generating High-Resolution Load Profiles—0
FedNILM: Applying Federated Learning to NILM Applications at the Edge—0
COLD: Concurrent Loads Disaggregator for Non-Intrusive Load MonitoringCode1
More Behind Your Electricity Bill: a Dual-DNN Approach to Non-Intrusive Load Monitoring—0
Fed-NILM: A Federated Learning-based Non-Intrusive Load Monitoring Method for Privacy-Protection—0
Trimming Feature Extraction and Inference for MCU-based Edge NILM: a Systematic Approach—0
A Data-Efficient Approach to Behind-the-Meter Solar Generation Disaggregation—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
Unsupervised Disaggregation of Water Heater Load from Smart Meter Data Processing—0
A Federated Learning Framework for Non-Intrusive Load Monitoring—0
Energy Disaggregation using Variational AutoencodersCode1
A Comprehensive Review on the NILM Algorithms for Energy Disaggregation—0
Incorporating Coincidental Water Data into Non-intrusive Load Monitoring—0
Quantification of Disaggregation Difficulty with Respect to the Number of Meters—0
Prior Flow Variational Autoencoder: A density estimation model for Non-Intrusive Load Monitoring—0
Privacy Preserving in Non-Intrusive Load Monitoring: A Differential Privacy Perspective—0
NILM as a regression versus classification problem: the importance of thresholdingCode1
Sequence-to-Sequence Load Disaggregation Using Multi-Scale Residual Neural Network—0
Exploring Bayesian Surprise to Prevent Overfitting and to Predict Model Performance in Non-Intrusive Load Monitoring—0
A Non-Intrusive Load Monitoring Approach for Very Short Term Power Predictions in Commercial Buildings—0
PowerGAN: Synthesizing Appliance Power Signatures Using Generative Adversarial Networks—0
Sequence to Point Learning Based on Bidirectional Dilated Residual Network for Non Intrusive Load Monitoring—0
On time series representations for multi-label NILMCode1
End-to-end NILM System Using High Frequency Data and Neural Networks—0
Augmenting an Assisted Living Lab with Non-Intrusive Load Monitoring—0
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
Deep Sparse Coding for Non-Intrusive Load Monitoring—0
Non-intrusive Load Monitoring via Multi-label Sparse Representation based Classification—0
Non-Intrusive Electrical Appliances Monitoring and Classification using K-Nearest Neighbors—0
Scale- and Context-Aware Convolutional Non-intrusive Load Monitoring—0
Improving Non-Intrusive Load Disaggregation through an Attention-Based Deep Neural NetworkCode0
Online Gaussian LDA for Unsupervised Pattern Mining from Utility Usage Data—0
Multi Label Restricted Boltzmann Machine for Non-Intrusive Load Monitoring—0
Unsupervised algorithm for disaggregating low-sampling-rate electricity consumption of households—0
Deep Learning Based Energy Disaggregation and On/Off Detection of Household Appliances—0
A Hybrid Event Detection Approach for Non-Intrusive Load Monitoring—0
Wavenilm: A causal neural network for power disaggregation from the complex power signalCode0
Transfer Learning for Non-Intrusive Load MonitoringCode0
Non-Intrusive Load Monitoring with Fully Convolutional Networks—0
Subtask Gated Networks for Non-Intrusive Load Monitoring—0
Functional Intrusive Load Monitor (FILM): A Model-based Platform for Non-Intrusive Load Monitoring System Development—0
Convolutional Sequence to Sequence Non-intrusive Load Monitoring—0
Neural Network Ensembles to Real-time Identification of Plug-level Appliance Measurements—0
Non Intrusive Load Monitoring in Chaotic Switching Networks—0
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