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The Wayback Machine - https://web.archive.org/web/20200910230145/https://github.com/topics/nilm
Here are
40 public repositories
matching this topic...
Non-Intrusive Load Monitoring Toolkit (nilmtk)
Updated
Sep 4, 2020
Python
Deep Neural Networks Applied to Energy Disaggregation
Updated
Mar 18, 2019
Python
Code for NILM experiments using Neural Networks. Uses Keras/Tensorflow and the NILMTK.
Updated
Dec 13, 2019
Jupyter Notebook
A curated resources of awesome NILM resources
The super-state hidden Markov model disaggregator that uses a sparse Viterbi algorithm for decoding. This project contains the source code that was use for my IEEE Transactions on Smart Grid journal paper.
Updated
Feb 25, 2018
Python
Updated
Jan 29, 2018
Jupyter Notebook
Updated
Nov 28, 2017
Jupyter Notebook
A reimplementation of Jack Kelly's rectangles neural network architecture based on Keras and the NILMToolkit.
Updated
Dec 17, 2019
Python
Overview of research papers with focus on low frequency NILM employing DNNs
Undergraduate research by Yuzhe Lim @ Spring 2019. Field of research: Deep Neural Networks application on NILM (Nonintrusive load monitoring) for Energy Disaggregation
Updated
May 1, 2019
Jupyter Notebook
Energy disaggregation - Deep learning approach.
Updated
Feb 2, 2018
Python
AMBAL-based NILM Trace generator
Updated
Aug 12, 2020
Python
NILM performance evaluation functions use in the Springer Energy Efficiency journal paper.
Updated
Jul 30, 2015
Python
Multi-NILM: Multi Label Non Intrusive Load Monitoring
Updated
May 21, 2020
Python
Importing script to data wrangle (convert, clean, and repair data from) the REDD dataset
Updated
Jul 30, 2015
Python
Presentation of Neural NILM for BuildSys 2015 conference in November 2015
Updated
May 20, 2016
HTML
Scripts of the the Rainforest Automation Energy Dataset (RAE dataset)
Updated
Sep 3, 2018
Python
A Synthetic Energy Consumption Dataset for Non-Intrusive Load Monitoring
Non Intrusive Load Monitoring data repository and data converter for NILMTK
Updated
Feb 10, 2017
Jupyter Notebook
An aided linear integer programming (ALIP) non-intrusive load monitoring (NILM) algorithm.
Updated
Aug 31, 2017
MATLAB
Non-Intrusive Load Monitoring is aimed to predict the status or consumption of some domestic appliances in a household only by knowing the aggregated load of that house. In this project, we implement some models that can do both power load estimation and status prediction.
Updated
Aug 4, 2020
Python
COMMIT-NILM: COMputational MonItoring Tool for NILM Algorithms
Updated
Jun 13, 2020
Jupyter Notebook
Code for our MPS 2019 paper entitled "A Machine Learning Approach for NILM based on Odd Harmonic Current Vectors"
Updated
Sep 3, 2019
Jupyter Notebook
To view this presentation in your browser, go to:
Updated
May 20, 2016
HTML
Updated
Aug 12, 2017
Jupyter Notebook
Slides for my talk on "Does disaggregated electricity feedback reduce domestic electricity consumption? A systematic review of the literature"
Updated
May 20, 2016
HTML
Supervised NILM using multiple-choice knapsack problem (MCKP).
Updated
Nov 12, 2019
Python
DEPS: Dataset de la Escuela Politénica Superior
Updated
Sep 10, 2020
HTML
Scripts and things used to create the AMPds dataset.
Updated
Nov 23, 2016
Jupyter Notebook
Segmentación Energía usando dataset REDD y varios algoritmos incluidos Neural Network
Updated
Sep 30, 2019
Jupyter Notebook
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