Gas Consumption Forecasting - Time series Project

etected seasonality, stationarity, and patterns in gas consumption data using ACF/PACF plots and the Kruskal-Wallis test.

• Applied transformations (seasonal adjustment, differencing) and developed various ARIMA models, selecting the best fit through diagnostics and residual checks.

• Generated accurate forecasts with the final model, providing valuable insights for energy planning and policy decisions.