HIPE Feature Data Set

Scripts to extract features from energy time series

This repository contains code to generate features from energy time series. The code can be used to reproduce the feature data set that is used in the manuscript

Michael Vollmer, Holger Trittenbach, Shahab Karrari, Adrian Englhardt, Pawel Bielski, Klemens Böhm, "Energy Time-Series Features for Emerging Applications on the Basis of Human-Readable Machine Descriptions" submitted to Second International Workshop on Energy Data and Analytics (ACM e-Energy Workshop 2019), 05 Mar 2019.

For a download of the extracted feature data set and further information, see the companion website.

The code is licensed under a MIT License and the data set under a Creative Commons Attribution 4.0 International License. If you use this code or data set in your scientific work, please reference the companion paper.

Reproducing the feature data

Steps to generate the feature data from raw measurements:

1. Install python3.6, python3.6-dev and pipenv.
2. Run pipenv install to fetch all python dependencies.
3. Run pipenv run feature-extraction to calculate the features. The script automatically downloads the HIPE data set and runs the feature extraction. The final feature data sets are then in data/.

Author

For questions and comments, please contact Adrian Englhardt.