Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Abstract: This paper presents a novel, explainable, and weather-independent day-ahead load forecasting (DALF) method. The proposed methodology integrates calendar-based segmentation using ...
Abstract: We propose a soft gradient boosting framework for sequential regression that embeds a learnable linear feature transform within the boosting procedure. At each boosting iteration, we train a ...
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