uent, your point about historical data being useful for short-term predictions with time series models is particularly interesting. However, fuel prices are also influenced by external factors that can be difficult to predict, such as geopolitical events and economic conditions. Could combining different forecasting techniques, like time series models and causal models that consider external factors, improve the accuracy of fuel price predictions? Why or why not