Hosam Mukhairez
• Good at computer software technologies.• Highly motivated and capable of achieving personal objectives.• Ambition and goal oriented with clear vision of future objectives.• Keen to find a challenging position, which fits both my education andupcoming experience.
Phone: 00970597802103
Address: KhanYounis, Gaza Strip, Palestinian Territory, Occupied
Phone: 00970597802103
Address: KhanYounis, Gaza Strip, Palestinian Territory, Occupied
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In this paper, the oil production amounts produced from the world continents and regions (Africa, Asia, Europe, Middle East, North America and S. & Cent. America) was forecasted.
The forecasting is conducted using the following forecasting algorithms: Auto-Regressive Integrated Moving Average (ARIMA), Hybrid ARIMA, and Linear Regression with horizon value equals ten (2017-2026). After evaluating tested algorithms using MAPE it is noticed that Hybrid ARIMA was the best forecasting algorithm to be used over Africa (MAPE 5.05%), Asia (MAPE 1.29%) and Europe (MAPE 2.85%) datasets. While ARIMA was the best forecasting algorithm to be used for the Middle East (MAPE 3.06%) and North America (MAPE 18.25%). Finally, Linear regression was the most appropriate forecasting algorithm to be used for South & Cent. America (MAPE 1.62%).
The deviation of the forecasted 10 years (2017-2026) of Africa and Asia is decreasing with comparison to the last 10 years (2007-2016), while the forecasted 10 years to the rest of all region is increasing with comparison to last 10 years.
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In this paper, the oil production amounts produced from the world continents and regions (Africa, Asia, Europe, Middle East, North America and S. & Cent. America) was forecasted.
The forecasting is conducted using the following forecasting algorithms: Auto-Regressive Integrated Moving Average (ARIMA), Hybrid ARIMA, and Linear Regression with horizon value equals ten (2017-2026). After evaluating tested algorithms using MAPE it is noticed that Hybrid ARIMA was the best forecasting algorithm to be used over Africa (MAPE 5.05%), Asia (MAPE 1.29%) and Europe (MAPE 2.85%) datasets. While ARIMA was the best forecasting algorithm to be used for the Middle East (MAPE 3.06%) and North America (MAPE 18.25%). Finally, Linear regression was the most appropriate forecasting algorithm to be used for South & Cent. America (MAPE 1.62%).
The deviation of the forecasted 10 years (2017-2026) of Africa and Asia is decreasing with comparison to the last 10 years (2007-2016), while the forecasted 10 years to the rest of all region is increasing with comparison to last 10 years.