Machine Learning

Inteligência artificial como suporte a tomada de decisão para previsão de novos casos do coronavírus (COVID-19)

Wind Energy Multi-Step Ahead Forecasting Based on Variational Mode Decomposition

Wind energy is one of the sources which still in development in Brazil, however, it already represents 17% of the National Interconnected System. Due to the high level of uncertainty and fluctuations in wind speed, prediction of wind energy with high …

Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables

The novel coronavirus disease (COVID-19) is a public health problem once according to the World Health Organization up to June 24th, 2020, more than 9.1 million people were infected, and more than 470 thousand have died worldwide. In the current …

Short-term forecasting of Amazon rainforest fires based on ensemble decomposition model

Accurate forecasting is important for decision-makers. Recently, the Amazon rainforest is reaching record levels of the number of fires, a situation that concerns both climate and public health problems. Obtaining the desired forecasting accuracy …

Solar Power Forecasting Based on Ensemble Learning Methods

Alternative energy sources are becoming more and more common around the world. In order to reduce environmental pollution and CO 2 emissions, in addition to being an ideal solution to overcome the energy crisis. In this context, power energy stands …

Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil

The new Coronavirus (COVID-19) is an emerging disease responsible for infecting millions of people since the first notification until nowadays. Developing efficient short-term forecasting models allow forecasting the number of future cases. In this …

Very short-term wind energy forecasting based on stacking ensemble

Wind power generation is one of the technologies of electric production which still in development in Brazil, however, it already has a great penetration in the national energy matrix, representing 13.98% of the national energy consumption in Brazil. …