Gas Price

Gas price forecasting is a crucial area of research aiming to improve the accuracy and reliability of predictions, particularly in the face of market volatility and structural breaks like those caused by geopolitical events. Current research emphasizes the use of advanced machine learning techniques, including neural networks (e.g., LSTMs, CNN-LSTMs, and hybrid models), along with statistical methods like ARMA-GARCH models and quantile regression averaging, to capture complex price dynamics and generate probabilistic forecasts. These improved forecasting capabilities are vital for energy traders, policymakers, and businesses to manage risk, optimize resource allocation, and develop effective energy policies.