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This contains the energy disaggregation code based on Graph Signal Processing approach

Home Page: https://ieeexplore.ieee.org/document/7457610/

Python 100.00%

gsp_energy_disaggregator's Introduction

GSP_energy_disaggregator

Disclaimer

This python code has been implemented by translating the Matlab code developed by the authors of the paper titled "On a training-less solution for non-intrusive appliance load monitoring using graph signal processing". Note I don't have Matlab code with me now so please don't email me for the Matlab files.

Usage

The directory contains two py files: (i) gsp_disaggregator.py: It is the main file. (ii) gsp_support.py: It contains the supporting functions called by gsp_disaggregator. Also, it contains a demo data file used by gsp_disaggregator.py. Please read comments provided in the gsp_disaggregator.py to understand what different functions do.

Citation

If you use this copy of code in your work then cite "On a training-less solution for non-intrusive appliance load monitoring using graph signal processing" paper.

Releases

2018-12-29 Added the ability to label disaggregated appliances by comparison with a signature database using DTW or FastDTW and some small features. @aleonnet

gsp_energy_disaggregator's People

Contributors

loneharoon avatar aleonnet avatar andrerenaud avatar

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