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Semi-supervised multi-task learning based framework for power system security assessment

This paper develops a novel machine learning-based framework for the dynamic security assessment of power systems. It uses semi-supervised multi-task learning and produces accurate, reliable, and topological aware assessment of system stability. The learning algorithm underlying the proposed framewo...

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Príomhchruthaitheoirí: Muhy Eddin Za’ter, Amir Sajadi, Bri-Mathias Hodge
Formáid: Artigo
Teanga:Inglês
Foilsithe / Cruthaithe: Elsevier 2025-09-01
Sraith:International Journal of Electrical Power & Energy Systems
Ábhair:
Rochtain ar líne:http://www.sciencedirect.com/science/article/pii/S0142061525004582
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