Abstract: Hydrogen electrolyzers are promising tools for frequency regulation of future power systems with high penetration of renewable energies and low inertia. This is due to both the increasing ...
Abstract: 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 ...
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