Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …

The generation from renewable sources has increased significantly worldwide, mainly
driven by the need to reduce the global emissions of greenhouse gases, decelerate climate …

This paper aims to develop a scenario-based optimization framework to deals with several
issues related to redesign sustainable reverse supply chain; focused particularly in the …

Power systems have become increasingly complex throughout the years, with divisions that
may vary across classes of consumption and geographic regions. Hence, accurate demand …

Runoff is an important basis for the operation of hydropower. However, due to inflow
uncertainty, the ideal practical operation process usually doesn't match with the plan, which …

Over the years, several studies have investigated the stochastic phenomenon that generates
wind energy. Many studies have focused on descriptive analyses to verify the most …

The size and characteristics of the Brazilian Electrical Sector (BES) are unique. The system
includes a large-scale hydrothermal power system with many hydroelectric plants and …

The Weibull distribution is commonly used to model wind speed data, mainly due to its good
fit to asymmetric positive variables. Several proposals have extended this approach to …

Hydrogen energy is regarded as a promising solution for decarbonizing hard-to-abate
sectors, while its role in the energy transition remains debatable. One of the key reasons is …

A mid‐term integrated generation and maintenance scheduling model is proposed for wind‐
hydro‐thermal systems in this paper. Various constraints of wind farms, thermal plants, and …