Interpretable Dimensionally-Consistent Feature Extraction from Electrical Network Sensors
Abstract
Electrical power networks are heavily monitored systems, requiring operators to perform intricate information synthesis before understanding the underlying network state. Our study aims at helping this synthesis step by automatically creating features from the sensor data. We propose a supervised feature extraction approach using a grammar-guided evolution, which outputs interpretable and dimensionally consistent features. Operations restrictions on dimensions are introduced in the learning process through context-free grammars. They ensure coherence with physical laws, dimensional-consistency, and also introduce technical expertise in the created features. We compare our approach to other state-of-the-art feature extraction methods on a real dataset taken from the French electrical network sensors.
Cite
Text
Crochepierre et al. "Interpretable Dimensionally-Consistent Feature Extraction from Electrical Network Sensors." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2020. doi:10.1007/978-3-030-67667-4_27Markdown
[Crochepierre et al. "Interpretable Dimensionally-Consistent Feature Extraction from Electrical Network Sensors." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2020.](https://mlanthology.org/ecmlpkdd/2020/crochepierre2020ecmlpkdd-interpretable/) doi:10.1007/978-3-030-67667-4_27BibTeX
@inproceedings{crochepierre2020ecmlpkdd-interpretable,
title = {{Interpretable Dimensionally-Consistent Feature Extraction from Electrical Network Sensors}},
author = {Crochepierre, Laure and Boudjeloud-Assala, Lydia and Barbesant, Vincent},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
year = {2020},
pages = {444-460},
doi = {10.1007/978-3-030-67667-4_27},
url = {https://mlanthology.org/ecmlpkdd/2020/crochepierre2020ecmlpkdd-interpretable/}
}