The sea surface temperature (SST) is an environmental indicator closely related to climate,
weather, and atmospheric events worldwide. Its forecasting is essential for supporting the …

Time series forecasting has been applied to predict performance degradation in
Microservice-Based Applications (MBAs). The prediction enables MBA adaptation to avoid …

This paper investigated the use of linear models to forecast crude oil futures prices (WTI) on
a monthly basis, emphasizing their importance for financial markets and the global …

The development of accurate forecasting systems for real-world time series modeling is a
challenging task. Due to the presence of temporal patterns that change over time, the …

Time series have become a valuable source of study in many areas, mainly because it
encapsulates some underlying time-index variables. A significant part of these studies is …

Forecasting mortality is challenging. In general, mortality rate forecasting exercises have
been based on the supposition that predictors' residuals are random noise. However, issues …

Dynamic predictor selection has been applied to time series context to improve the accuracy
to forecast. A crucial step in dynamic selection methods if the definition of the region of …

Dynamic selection systems work by selecting the most competent models from an ensemble.
The key issue in these systems is to define the competence of the models. The models' …

Nas últimas décadas Sistemas Híbridos (SH) que utilizam a modelagem residual têm sido
amplamente aplicados no contexto de previsão de séries temporais. Esta abordagem utiliza …

Abordagens de seleção dinâmica têm sido aplicadas com sucesso no contexto de séries
temporais. Um dos aspectos importantes para se obter uma alta acurácia é a coleção de …