Predicting Electricity Consumption in the Kingdom of Saudi Arabia

Forecasting energy consumption in Saudi Arabia for the period from 2020 until 2030 is investigated using a two-part composite model. The first part frontier, and second autoregressive integrated moving average (ARIMA) model that helps avoid large disparity predictions previous studies, which what this research seeks to achieve. sample of study has size 30 observations, are actual values 1990 2019. philosophy installation reuse residuals extract remaining values. Therefore, it becomes white noise extracted added increase prediction accuracy. were calculated ARIMA (0, 1, 0) with constant was developed both residual sum squares root means square errors, compared cases. results demonstrate accuracy complex models better than single polynomial or randomly singular by an estimated improvement 18.5% as result synthesizing process, estimates value electricity be 575 TWh, 365, 442, 633 TWh.