Deep Neural Networks Applied to Energy Disaggregation Please see my Neural NILM prototype code to see exactly what I implemented in my Neural NILM paper! Your best bet if you want to re-implement Neural NILM would probably be start from scratch using a modern framework like TensorFlow, and perhaps use nilmtk to help load the datasets
Neural Network-Aided NILM (NNAN) disaggregation: Revealing appliance . . . In this paper, a novel NILM approach that is called Neural Network-Aided NILM (NNAN) has been proposed, implemented and fully evaluated It is designed to sequentially disaggregate the total household energy consumption by progressively extracting individual appliance signatures
Neural NILM: Deep Neural Networks Applied to Energy Disaggregation Recently, deep neural networks have driven remarkable improvements in classification performance in neighbouring machine learning fields such as image classification and automatic speech recognition