Metrics to assess the generalisation ability of NILM algorithms
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Updated
Dec 16, 2019
Metrics to assess the generalisation ability of NILM algorithms
A reimplementation of Jack Kelly's rectangles neural network architecture based on Keras and the NILMToolkit.
A Synthetic Energy Consumption Dataset for Non-Intrusive Load Monitoring
This repository contains my implementation for Energy Disaggregation of appliances from mains consumption using stacked ensemble deep learning
This repository contains assignments and project work related to the course
DEPS: Dataset de la Escuela Politénica Superior
Code for NILM experiments using Neural Networks. Uses Keras/Tensorflow and the NILMTK.
The AMBAL-based NILM Trace generator (for NILMTK)
Notebook script that converts time-series data to images using pyts and nilmtk.
Group of Apprentices to learn NILMTK with UK-DALE
Non-Intrusive Load Monitoring Toolkit (nilmtk)
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