Abstract: Conditional generative adversarial networks (cGANs) aim to synthesize diverse images given the input conditions and the latent codes, but they are prone to map an input to a single output ...

Statistics becomes far more interesting when it answers real questions. The best projects move beyond formulas and into real-world decisions. These ideas turn raw data into insights that reveal ...

Abstract: This paper proposes a direct model for conditional probability density forecasting of residential loads, based on a deep mixture network. Probabilistic residential load forecasting can ...

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