This study addresses the challenge of wind resource analysis for green hydrogen production in the Horn of Africa, despite the lack of long-term measured wind data. Using satellite data except for Djibouti, the paper estimates scale and shape parameters for wind speed at four locations: Addis Ababa (Ethiopia), Asmara (Eritrea), Mogadishu (Somalia), and Ghoubet (Djibouti). Four metaheuristic algorithms called Particle Swarm Optimization (PSO), Geometric Mean Optimizer (GMO), Henry Gas Solubility Optimization (HGSO), and Aquila Optimization (AO), are applied to assess wind potential and optimize green hydrogen production. A comparative analysis is conducted using three different wind turbines, categorizing wind speed data into three scenarios. Despite data limitations, the results demonstrate significant wind energy potential in these countries, with Scenario 2 yielding the best performance. HGSO and PSO are identified as the most effective algorithms. The study's novelty lies in using these algorithms to assess wind energy for hydrogen production in a region with limited data. The findings indicate that Djibouti and Somalia have considerable potential for cost-effective green hydrogen production, with Djibouti achieving the lowest hydrogen cost (1.22 $/kg) and highest carbon savings (3.04 Mtons), contributing to both economic and environmental sustainability.