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Non-Intrusive Load Monitoring

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Showing 76–99 of 99 papers

TitleStatusHype
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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