Every year, forest fires affect large areas of Santa Catarina State in Brazil, causing significant environmental, economic, and property damage. This study aims to predict fire outbreaks in Lages and Xanxerê, municipalities with high incidence rates, …
Time series forecasting is an essential approach for businesses and researchers to make informed decisions by predicting future trends and patterns in a given time series data. Nevertheless, forecasting time series accurately can be challenging due …
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 …