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pro vyhledávání: '"Esteban Gonzalez-Iakl"'
Publikováno v:
IEEE Access, Vol 12, Pp 135913-135928 (2024)
Several studies have demonstrated the potential of machine learning methods to solve optimal power flow problems. However, designing a scalable physics-informed neural network (PINN) model that can improve its performance being trained in diverse sce
Externí odkaz:
https://doaj.org/article/171af70625dd4f669c0cf330e4bb1194