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Consider Conditional VAEs

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Background: Probabilistic forecasting allows for the application of uncertainty quantification to inform operational decision-making processes and risk assessment.

Question / Future Work: Consider other generative architectures for probabilistic forecasting, such as conditional variational autoencoders (VAEs), which learn a conditional latent representation of the future given past observations.

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