Multi-objective Optimization

Combination of Transformer-Based Models for Wind Data Forecasting

This study explores the use of combined Transformer-based models for time seriesforecasting, evaluating the Informer, Autoformer, Transformer, and CALF architectures. Models were trained on wind data under two configurations, with and without …

Forecasting epidemiological time series based on decomposition and optimization approaches

Epidemiological time series forecasting plays an important role in health public system, since it allows managers to develop strategic planning to avoid possible epidemics. In this aspect, a hybrid approach is developed to forecast confirmed cases of …