There are 14 repositories under energy-disaggregation topic.
Deep Neural Networks Applied to Energy Disaggregation
An archive for NILM papers with source code and other supplemental material
A repository of awesome Non-Intrusive Load Monitoring(NILM) with code.
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.
Undergraduate research by Yuzhe Lim in Spring 2019. Field of research: Deep Neural Networks application on NILM (Nonintrusive load monitoring) for Energy Disaggregation
This contains the energy disaggregation code based on Graph Signal Processing approach
Overview of research papers with focus on low frequency NILM employing DNNs
🔌 Load Monitoring and Energy Disaggregation on a RasPi
Overview of NILM works employing Deep Neural Networks on low frequency data
A Moroccan Buildings’ Electricity Consumption Dataset. MORED is made available by TICLab of the International University of Rabat (UIR), and the data collection was carried out as part of PVBuild research project, coordinated by Prof. Mounir Ghogho and funded by the United States Agency for International Development (USAID).
Non Intrusive Load Monitoring data repository and data converter for NILMTK
Supplemental material on comparability and performance evaluation in NILM
Presentation of Neural NILM for BuildSys 2015 conference in November 2015
DEPS: Dataset de la Escuela Politénica Superior
Metrics to assess the generalisation ability of NILM algorithms
This repository contains my implementation for Energy Disaggregation of appliances from mains consumption using stacked ensemble deep learning
In this project, we've tried applying various DNNs to the problem of non-intrusive load monitoring (NILM) and compared their results for various appliances using the REDD dataset. We took a sliding window approach in hopes that we'll be able to achieve real time disaggregation with further tuning and testing. We compare the disaggregated energy consumption results based on MSE, MAE, Relative Error and F1 Score.
Minion - World's Smallest AI Energy Auditor
Slides for my talk on "Does disaggregated electricity feedback reduce domestic electricity consumption? A systematic review of the literature"
This repository contains assignments and project work related to the course
Smart home-IoT ecosystem for Active Ambient Assisted Living
A schema for modelling meters, measurements, appliances, buildings etc