I developed and applied the S-AR-MA model for electrical load prediction, focusing on short-term forecasts essential for daily power system operations. This involved handling large, seasonal time series data over several years and utilizing online machine learning techniques to optimize resource efficiency, particularly time and computing power, during data updates.