Non-Intrusive Load Monitoring Toolkit (nilmtk)
Deep Neural Networks Applied to Energy Disaggregation
Energy Management Using Real-Time Non-Intrusive Load Monitoring
Multi-NILM: Multi Label Non Intrusive Load Monitoring
This repo provides four weight pruning algorithms for use in sequence-to-point energy disaggregation as well as three alternative neural network architectures.
This contains the energy disaggregation code based on Graph Signal Processing approach
🔌 Load Monitoring and Energy Disaggregation on a RasPi
A User-Oriented Energy Monitor to Enhance Energy Efficiency in Households
NILM for Home Assistant — detect appliances without smart plugs from your Linky meter
Neural Networks coursework: DNN/CNN image classification with a transfer-learning study, and recurrent architectures (RNN/LSTM/GRU) for time-series energy disaggregation. Full Jupyter notebooks and reports.
The AMBAL-based NILM Trace generator (for NILMTK)
A schema for modelling meters, measurements, appliances, buildings etc
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