https://github.com/smakonin/SparseNILM

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.
https://github.com/smakonin/SparseNILM

nilm nilm-algorithms

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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.

• Host: GitHub
• URL: https://github.com/smakonin/SparseNILM
• Owner: smakonin
• License: mpl-2.0
• Created: 2015-05-09T21:23:56.000Z (about 11 years ago)
• Default Branch: master
• Last Pushed: 2018-02-25T18:27:06.000Z (over 8 years ago)
• Last Synced: 2024-02-14T21:23:35.675Z (over 2 years ago)
• Topics: nilm, nilm-algorithms
• Language: Python
• Homepage:
• Size: 18.5 MB
• Stars: 80
• Watchers: 10
• Forks: 41
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Sparse NILM

Copyright (c) 2015 by Stephen Makonin

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](http://makonin.com/doc/TSG_2015.pdf) journal paper.

If you use my code in your research please cite this paper. Current citation details are:

- **Title:** Exploiting HMM Sparsity to Perform Online Real-Time Nonintrusive Load Monitoring (NILM)

- **Authors:** Stephen Makonin, Fred Popowich, Ivan V. Bajic, Bob Gill, Lyn Bartram

- **Journal:** IEEE Transactions on Smart Grid

- **Vol/No/Pages:** vol. 7, no. 6, pp. 2575-2585

- **Accepted:** October 2015

- **DOI:** 10.1109/TSG.2015.2494592

**NOTE:** This code it a rewritten and modified version of the code used in my PhD thesis.

## piNILM

**2016 May 2 Update:** This code is able to run on a Raspberry Pi 2B+ and 3. If you have a [Rainforest EMU2](https://rainforestautomation.com/rfa-z105-2-emu-2/) you can have the RPi communicate with your smart meter and perform disaggregation in real-time. Read the [piNILM.md](piNILM.md) document for details on how to do this.