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Journal of Information and Optimization Sciences

(Since 1980)
Hybrid ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

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Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

Issues up to 2022 co-published with and available at:Taylor & Francis
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Journal of Information and Optimization Sciences
Open Access Research Article

Machine learning and artificial intelligence based energy efficient smart cities : A concise survey

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pp. 657–668Vol. 46Issue 3April 2025DOI: 10.47974/JIOS-1678XML
Received:
15 Oct 2024
Published Online:
15 Mar 2025
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1678
Pages:
657–668

Abstract

The concept of smart cities has always been influential and impactful for development in urban areas in the twenty-first century. These communities use innovative technologies and data analytics to enhance citizens’ well-being, optimize infrastructure and utilities, and foster long-term economic development. Smart cities strive to create a unified and intelligent urban environment by integrating several areas such as transportation, energy, health, education, and governance. Our research included a structured literature assessment using Web of Science and Google Scholar, as well as answering particular smart city research questions. With the growing urban areas and the development of energy efficient smart cities, it is really challenging to incorporate cutting-edge technologies and AI driven solution to have resilient sustainability.

Keywords

Smart cities (SC)Energy efficiencyArtificial neural networks (ANN)Convolutional neural networks (CNN)Recurrent neural networks (RNN)

Subject Classifications

90C9068T0500A05

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