aspg-31-1862-1791686991 20261011024951 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group International Journal of Advances in Applied Computational Intelligence IJAACI 2833-5600 2022 2 2 Abedallah Z. Abualkishik American University in the Emirates, Dubai, UAE Rasha Almajed American University in the Emirates, Dubai, UAE The depletion of fossil fuel reserves, rising fuel costs, and heightened awareness of ecological problems are just a few of the recent developments that have contributed to a greater reliance on renewable energy alternatives. There is a growing need to evaluate appropriate locations in order to make the most efficient use of renewable energy alternatives. This research looks at the parameters that determine how well-spaced solar farms can be in Egypt. So, the multi-criteria decision-making (MCDM) methodology is used to deal with these criteria. The MCDM is a hybrid with the neutrosophic set to deal with vague information. This paper presented the neutrosophic AHP method to select the best location for solar power (SP). The AHP method is selected to compute the weights of factors in an easy and efficient way. This paper collected the criteria from previous work, then evaluated by the experts. The case study in Egypt is presented to select the best location for SP. The sensitivity analysis is presented to show the rank of locations when changing the weights of factors. 2022 08 15 1862 https://creativecommons.org/licenses/by/4.0/ 10.54216/IJAACI.020201 https://www.americaspg.com/journal/31/article/1862 https://www.americaspg.com/storage/61686784855.pdf