# Deep Learning for Power System Security Assessment

@article{HidalgoArteaga2019DeepLF,
title={Deep Learning for Power System Security Assessment},
author={Jos{\'e}-Mar{\'i}a Hidalgo-Arteaga and Fiodar Hancharou and Florian Thams and Spyros Chatzivasileiadis},
journal={2019 IEEE Milan PowerTech},
year={2019},
pages={1-6}
}
• Published 31 March 2019
• Computer Science
• 2019 IEEE Milan PowerTech
Security assessment is among the most fundamental functions of power system operator. The sheer complexity of power systems exceeding a few buses, however, makes it an extremely computationally demanding task. The emergence of deep learning methods that are able to handle immense amounts of data, and infer valuable information appears as a promising alternative. This paper has two main contributions. First, inspired by the remarkable performance of convolutional neural networks for image…

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