Non-Intrusive Load Monitoring Toolkit (nilmtk)
Industrial Energy Disaggregation with Digital Twin-generated Dataset and Efficient Data Augmentation (https://arxiv.org/abs/2506.20525)
Group of Apprentices to learn NILMTK with UK-DALE
Notebook script that converts time-series data to images using pyts and nilmtk.
The AMBAL-based NILM Trace generator (for NILMTK)
Code for NILM experiments using Neural Networks. Uses Keras/Tensorflow and the NILMTK.
DEPS: Dataset de la Escuela Politénica Superior
This repository contains assignments and project work related to the course
This repository contains my implementation for Energy Disaggregation of appliances from mains consumption using stacked ensemble deep learning
A Synthetic Energy Consumption Dataset for Non-Intrusive Load Monitoring
A reimplementation of Jack Kelly's rectangles neural network architecture based on Keras and the NILMToolkit.
Metrics to assess the generalisation ability of NILM algorithms
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