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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 ...

Abstract: This study processes a more discriminative score function or decision measure to address current decision outcomes. Drawing from the information theory, the Kullback-Leibler(KL) divergence ...