This repository contains code for Gemello: Creating a Detailed Energy Breakdown from just the Monthly Electricity Bill. This paper was accepted at SIGKDD 2016.
Please use the following bib entry to cite the paper.
@inproceedings{Batra:2016:GCD:2939672.2939735,
author = {Batra, Nipun and Singh, Amarjeet and Whitehouse, Kamin},
title = {Gemello: Creating a Detailed Energy Breakdown from Just the Monthly Electricity Bill},
booktitle = {Proceedings of the 22Nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
series = {KDD '16},
year = {2016},
location = {San Francisco, California, USA},
pages = {431--440},
url = {http://doi.acm.org/10.1145/2939672.2939735},
doi = {10.1145/2939672.2939735}
}
More pertinent links to the paper
This work was also presented at the 3rd NILM workshop. You can find the slides and the talk recording.
This Readme gives a description of the repository structure and how one can repeat the experiments. The final plots and analysis is all done in IPython notebooks. Each folder in this repository has a Readme describing the contents of the folder.
First, links to the notebooks for the figures
| Figure/Table | Link |
|---|---|
| Figure 1 | Approach |
| Figure 2 | Dataset description |
| Figure 3 | Code for producing estimates, Notebook for ingesting the estimates and producing plots |
| Figure 4 | Comparison with state-of-art at higher frequency |
| Figure 5 and Table 3 | Sensitivity analysis on features |
| Figure 6 | Sensitivity analysis on number of homes |
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