AI applications in smart cities’ energy systems automation

Abstract

Artificial intelligence (AI) plays a significant role in energy systems transformations in smart cities. Climate change and environmental sustainability imposed utilities to shift toward renewable energy resources and technologies applications in recent decades. Renewable energy technology deployment is associated with high initial investment and integration with the existing supply and demand systems. Operation stability has been challenging to integrate renewable energy with the customary old systems. On the other hand, renewable energy ensures sustainable energy and future development with minimum loss and greenhouse gas emissions. Therefore, AI is the primary mover of power systems modernization with high accuracy of management and control. This study tried to evaluate the efficiency and performance of AI in the renewable energy sector, focusing on the European Union as the case study. This study analyzes the first renewable energy processes in the chain and energy from gross to final consumption. Afterward economic consequences of renewable energy using natural resources (solar, wind, etc.) in smart cities are discussed. Finally, the efficiency of AI in renewable energy is examined, followed by future work.