PI: Dr. Hasan Masrur
CoI: Dr. Haitham Saleh

The Kingdom of Saudi Arabia (KSA) faces challenges due to climate change, which are expected to intensify, compounded by the nation’s high fossil fuel energy consumption. Traditional energy systems reliant on natural resources are increasingly vulnerable to climate-induced extreme events, such as flooding and dust storms. This proposed research aims to develop and test a smart, renewable energy-based system tailored for KSA. This system will leverage a data-driven approach using the Internet of Things (IoT) and Artificial Intelligence (AI) to minimize fossil fuel reliance while ensuring resilience and uninterrupted energy supply during extreme conditions. AI-driven controls will dynamically balance generation with demand, optimizing resource use while maintaining stability.. Real-time data from these sources will enable predictive and adaptive adjustments, ensuring efficiency and resilience. This data-driven, renewable-powered model will be designed as a scalable, economical, and smart energy solution, supporting KSA’s Vision 2030 and broader net-zero goals under the Sustainable Development Goals (SDGs).