A wind power forecast is an useful support tool for planning and operating wind farm
production, facilitating decisions regarding maintenance and load share. This paper …

Electricity expense management presents significant challenges, as this resource is
susceptible to various influencing factors. In universities, the demand for this resource is …

Deep neural networks applied to signal processing problems will have to incorporate
various architectural features to remember the history of the input signals, eg, loops between …

Wind power, a clean and sustainable energy source, has experienced substantial growth in
Brazil's energy capacity over recent decades. Accurate wind power forecasting is crucial for …

In the Brazilian power system, challenges are inherent in forecasting thermal generation
dispatch, which plays a critical role in ensuring the efficient operation of electrical power …