title: Predicting Oil Price Trends During Conflict With Hybrid Machine Learning Techniques
abstract: The ongoing conflict between Russia and Ukraine has introduced significant volatility into the global oil markets, highlighting the need for robust forecasting models to understand and anticipate price fluctuations during such geopolitical events. This study presents a comprehensive hybrid modeling approach to predict oil prices in the context of Russia and Ukraine across three distinct periods: before the war, during the war, and the immediate aftermath of the conflict. Using advanced machine l
journal: Applied Computational Intelligence and Soft Computing