AI for the City: Renewable Energy Optimization, Home Energy Efficiency, and the Transition to Green Energy
Abstract
This research aims to compare the use of AI-powered technologies in the energy sector and discuss their role in enhancing the efficiency and sustainability of urban energy systems. The energy sector is both broad and specialized, with many technologies already developed. However, it continues to face challenges such as the simultaneous integration of various systems, cybersecurity concerns, and the further adaptation of renewable energy sources. AI has the potential to help address these issues. Additionally, the study will explore the risks associated with the transition to green energy and the widespread implementation of AI. The methods employed in this research include the analysis of statistical data and insights from various scientists. Therefore, this study seeks to provide a comprehensive approach to optimizing energy usage in cities through the utilization of AI.
Fields of Study & Subjects
Smart Cities and Technologies
Integrated Energy Systems Optimization
Smart Grid and Power Systems
Publication details
- Journal / source
- Preprints.org
- Publication date
- 14 January 2026
- Document type
- Preprint