aspg-28-1698-1792155140 20261016125220 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Journal of Artificial Intelligence and Metaheuristics JAIM 2833-5597 2022 2 2 Israa Jasim Mohammed College of Science, University of Diyala, Baqubah, Iraq Bashar Talib Al-Nuaimi Computer Science Department, University of Diyala, Diyala 32001, Iraq Ther Intisar Baker College of Science, University of Diyala, Baqubah, Iraq The weather generally comprises various factors, such as wind speed, precipitation, and rainfall. Environmental weather forecasting is a demanding task for researchers, and in recent years it has attracted much study attention. Our assessment considers a wide range of weather conditions across Iraq utilizing information gathered from NASA's estimate of the world's energy resources for the years 1981 to 2021. Therefore, the correct forecast of meteorological parameters is a difficult challenge due to their changing environmental conditions. Random forest, decision tree, and GBR algorithms are used for weather forecasting. A comparison among used methods is performed and the RF is achieved the best results with accuracy, MAE, MSE, R2 of 92%, 0.5, 2.45, and 0.92, respectively. 2022 39 45 1698 https://creativecommons.org/licenses/by/4.0/ 10.54216/JAIM.020204 https://www.americaspg.com/journal/28/article/1698 https://www.americaspg.com/storage/81681869653.pdf