Abstract: Accurate and reliable load forecasting is essential for decision-making processes in the electric power industry. As the power industry transitions toward decarbonization, distributed energy ...
Abstract: Probabilistic forecasting that quantifies the prediction uncertainties is crucial for decision-making in power systems. As a prevalent nonparametric probabilistic forecasting approach, ...
This repository contains a demonstration how multiple quantiles can be predicted simultaneously with XGBoost. The key idea is to use a smooth approximation of the pinball loss, the arctan pinball loss ...
Correspondence to Dr Silvia Bargeri, IRCCS Istituto Ortopedico Galeazzi, Unit of Clinical Epidemiology, Milan, Italy Milano, Lombardia, IT, IRCCS Istituto Ortopedico Galeazzi, Milano 20161, Italy; ...
Description: Omitted variables are one of the most important threats to the identification of causal effects. In linear models, the well known Omitted Variable Bias formula shows how an omitted ...
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