energy-disaggregation topic
nilmtk
Non-Intrusive Load Monitoring Toolkit (nilmtk)
neuralnilm
Deep Neural Networks Applied to Energy Disaggregation
nilm-papers-with-code
An archive for NILM papers with source code and other supplemental material
multi-nilm
Multi-NILM: Multi Label Non Intrusive Load Monitoring
LowFreq_DNN-NILM
Overview of research papers with focus on low frequency NILM employing DNNs
Smart-Energy-Monitor
🔌 Load Monitoring and Energy Disaggregation on a RasPi
neuralnilm_prototype
GSP_energy_disaggregator
This contains the energy disaggregation code based on Graph Signal Processing approach
SynD
A Synthetic Energy Consumption Dataset for Non-Intrusive Load Monitoring
MachineLearning_NILM
Undergraduate research by Yuzhe Lim in Spring 2019. Field of research: Deep Neural Networks application on NILM (Nonintrusive load monitoring) for Energy Disaggregation