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Non-Intrusive Load Monitoring

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Showing 51–75 of 99 papers

TitleStatusHype
Sequence-to-Sequence Model with Transformer-based Attention Mechanism and Temporal Pooling for Non-Intrusive Load Monitoring—0
Subtask Gated Networks for Non-Intrusive Load Monitoring—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
More Behind Your Electricity Bill: a Dual-DNN Approach to Non-Intrusive Load Monitoring—0
MSDC: Exploiting Multi-State Power Consumption in Non-intrusive Load Monitoring based on A Dual-CNN Model—0
Multi Label Restricted Boltzmann Machine for Non-Intrusive Load Monitoring—0
Multi-timescale Event Detection in Nonintrusive Load Monitoring based on MDL Principle—0
Neural Network Ensembles to Real-time Identification of Plug-level Appliance Measurements—0
Non-Intrusive Electrical Appliances Monitoring and Classification using K-Nearest Neighbors—0
Non-Intrusive Load Monitoring Based on Image Load Signatures and Continual Learning—0
Non-intrusive Load Monitoring based on Self-supervised Learning—0
Non-Intrusive Load Monitoring for Feeder-Level EV Charging Detection: Sliding Window-based Approaches to Offline and Online Detection—0
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
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