HYBRID CHANCE-CONSTRAINED OPTIMAL POWER FLOW UNDER LOAD AND RENEWABLE GENERATION UNCERTAINTY USING ENHANCED MULTI-FIDELITY GRAPH NEURAL NETWORKS Power systems are transitioning toward renewable sources and electrification, introducing significant uncertainties in generation and demand that optimal power...

Hybrid Chance-Constrained Optimal Power Flow under Load and Renewable Generation Uncertainty using Enhanced Multi-Fidelity Graph Neural Networks

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Flow Map Learning for Unknown Dynamical Systems: Overview, Implementation, and Benchmarks

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Physics-Informed Neural Networks for Modeling of 3D Flow Thermal Problems with Sparse Domain Data

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Transfer Learning on Multi-Dimensional Data: A Novel Approach to Neural Network-Based Surrogate Modeling

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ChatGPT for Programming Numerical Methods

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AI-Enabled Cardiovascular Models Trained on Multifidelity Simulations Data

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