Enhancing Urban Sustainability: The Role of Artificial Neural Networks in Energy Efficiency and Smart City Development

Rusu Daniel Sorin

Abstract: This article examines the critical role of Artificial Neural Networks ANNs in transforming urban areas into more energy-efficient and intelligent environments. It highlights the use of ANNs in various urban applications, including smart grids, building management, and transportation systems, and discusses the potential of ANNs in enhancing sustainability and resilience in cities. The case study of the M100 - Mirror Mission Cities Hub in Romania serves as a practical example of these concepts in action.

Keywords: Smart Grids, Artificial Neural Networks, Urban Planning, Building Energy Management, Renewable Energy Integration, Sustainable Cities