International Journal of Scientific Research and Engineering Development

With the increasing demand of electricity in the world and the need to be sustainable with electricity, sustainable electrical infrastructure development has been a very important issue. The conventional methods of decision-making in planning and implementing infrastructure are usually not capable of dealing with sophisticated trade-offs that involve environmental, economic, and technical considerations. Artificial Intelligence (AI) delivers the potential of transformations in this area, as it allows for implementing data-driven, dynamic, and optimal decision-making structures. The present paper suggests an AI-based decision-making system that can support development of sustainable electrical infrastructure.The framework brings onboard machine learning that is used to predict demand, reinforcement learning, which is used to optimize planning, and multi-objective optimization that balances sustainability goals. The Case studies, simulations and real-world data prove the effectiveness of the framework in solving the issues including renewable integration, grid reliability, and cost-effectiveness. Ethical considerations required data and implications of policies are also discussed in the research. The paper has had an impact on the academic and industrial field because it establishes a basis of intelligent infrastructure systems to conform to long-term sustainability objectives.