This thesis focuses on optimizing energy generation in vertical bifacial solar panels for desert environments by harnessing both direct and reflected sunlight. Through MATLAB and Simulink simulations, bifacial panels demonstrate a 20-30% higher energy yield compared to traditional monofacial panels due to rear-side albedo capture. Key challenges such as dust accumulation, temperature variations, and wind loads are addressed by integrating AI-driven Smart Cyber-Physical Systems (S-CPS) for real-time monitoring, adaptive orientation, and automated maintenance. The results highlight significant efficiency improvements and operational resilience, making vertical bifacial systems a sustainable and cost-effective solution for large-scale energy production in arid regions. Future work explores further optimization through advanced AI algorithms and materials for enhanced energy capture.