AI for the City: Renewable Energy Optimization, Home Energy Efficiency, and the Transition to Green Energy

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Authors: Tereza Konstari
Cited by: 0

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