A review of graph neural networks and their applications in power systems

W Liao, B Bak-Jensen, JR Pillai… - Journal of Modern …, 2021 - ieeexplore.ieee.org
Deep neural networks have revolutionized many machine learning tasks in power systems,
ranging from pattern recognition to signal processing. The data in these tasks are typically …

A Review of Graph Neural Networks and Their Applications in Power Systems

W Liao, B Bak-Jensen, J Radhakrishna Pillai… - arXiv e …, 2021 - ui.adsabs.harvard.edu
Deep neural networks have revolutionized many machine learning tasks in power systems,
ranging from pattern recognition to signal processing. The data in these tasks is typically …

A Review of Graph Neural Networks and Their Applications in Power Systems

W Liao, B Bak-Jensen, JR Pillai, Y Wang… - arXiv preprint arXiv …, 2021 - arxiv.org
Deep neural networks have revolutionized many machine learning tasks in power systems,
ranging from pattern recognition to signal processing. The data in these tasks is typically …

A Review of Graph Neural Networks and Their Applications in Power Systems

W Liao, B Bak-Jensen, JR Pillai, Y Wang… - Journal of Modern Power …, 2022 - vbn.aau.dk
Deep neural networks have revolutionized many machine learning tasks in power systems,
ranging from pattern recognition to signal processing. The data in these tasks is typically …

A Review of Graph Neural Networks and Their Applications in Power Systems

W Liao, B Bak-Jensen, JR Pillai, Y Wang… - Journal of Modern …, 2022 - diva-portal.org
Deep neural networks have revolutionized many machine learning tasks in power systems,
ranging from pattern recognition to signal processing. The data in these tasks are typically …

[PDF][PDF] A Review of Graph Neural Networks and Their Applications in Power Systems

W Liao, B Bak-Jensen, JR Pillai, Y Wang… - JOURNAL OF MODERN …, 2022 - vbn.aau.dk
Deep neural networks have revolutionized many machine learning tasks in power systems,
ranging from pattern recognition to signal processing. The data in these tasks are typically …