Accurate energy consumption forecasting is of critical importance, as it enables governments, industries, and individuals to effectively plan for energy supply and demand, thereby reducing the risks associated with both oversupply and shortages. While prior research has explored various...

The study compares model approaches in predictive modeling for claim frequency and severity within the cross-border cargo insurance domain. The aim is to identify the optimal model approach between generalized linear models (GLMs) and advanced machine learning techniques. Evaluations focus on...