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Abstract: Recent advances in deep learning-based signal re-representation methods have achieved significant breakthroughs in tasks like signal modulation recognition. In this paper, we propose a ...

Abstract: Structured state-space models have shown promising results for temporal prediction of demand in renewable energy systems. However, such standard models consider each time-series individually ...