Abstract: Probabilistic electricity price forecasting (EPF) is crucial for optimizing decision-making in modern electricity markets. However, most studies focus on forecasting individual market prices ...

Abstract: Density estimation is a fundamental task in statistics and machine learning that aims to estimate, from a set of samples, the probability density function of the distribution that generated ...

Aim: To verify the effects of a multimodal exercise program on balance and motor functions, and the differences by sex, in people with Parkinson's disease (PD). Methods: The intervention study, was ...