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, UAEs, GANs, diffusion models/flow matching, and Gaussian processes for realistic load, generation and voltage time series. You will embed physical constraints into generation: power-flow consistency
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models/flow matching, and Gaussian processes for realistic load, generation and voltage time series. You will embed physical constraints into generation: power-flow consistency (Kirchhoff's laws) as soft
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, UAEs, GANs, diffusion models/flow matching, and Gaussian processes for realistic load, generation and voltage time series. You will embed physical constraints into generation: power-flow consistency
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are constructed for a given load (a water level on sea or rivers, or river discharge, with an associated probability of occurrence). Using these probabilities and the consequences, flood risk can be described
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damage and loss of life. These scenarios are constructed for a given load (a water level on sea or rivers, or river discharge, with an associated probability of occurrence). Using these probabilities and