نموذج تعاوني بالذكاء الاصطناعي وإكسل للطاقة المتجددة والتنويع الاقتصادي

Abstract

Libya's economic diversification requires data-driven decision-making tools, local capacity building, and innovative educational models to reduce reliance on hydrocarbon rents. This paper proposes an integrative model that combines Excel Live with AI-powered chatbots (e.g., ChatGPT) for supporting renewable energy planning, financial feasibility analysis, and workforce training in Libyan institutions. Using real-time collaborative simulations in Excel and AI-assisted guidance, the model enables students, engineers, and decision-makers to design localized solar and wind energy systems, assess economic impacts, and iteratively optimize solutions in a reproducible and collaborative environment. We present case studies and pilot educational modules developed in Libyan universities and discuss how these tools align with Libya’s future vision for energy transition and entrepreneurial development. This paper presents a scalable and accessible model that integrates AI with Excel Live to support Libya's economic diversification. It contributes to the development of alternative sectors, notably renewable energy, by enabling robust simulation and cost-benefit analysis. The framework facilitates evidence-based policy-making through real-time data collaboration and serves as a multidisciplinary tool for planning, analysis, and education. By providing a culturally adaptive platform, the study establishes a technical, economic, and administrative foundation for future-ready economic transformation.