Oil Price

Accurate oil price forecasting is crucial for economic planning and energy market stability, driving research into improved predictive models. Current efforts focus on leveraging advanced machine learning techniques, including deep learning architectures like transformers, recurrent neural networks (RNNs, particularly Bi-GRUs and LSTMs), and reservoir computing, often combined with metaheuristic optimization for hyperparameter tuning and ensemble methods to enhance prediction accuracy. These models aim to capture complex temporal dependencies and incorporate external factors like geopolitical events, improving upon traditional statistical approaches and informing more effective risk management and investment strategies.