Leveraging Artificial Intelligence to Bolster the Energy Sector in Smart Cities: A Literature Review
As Smart Cities development grows, deploying advanced technologies, such as the Internet of Things (IoT), Cyber–Physical Systems, and particularly, Artificial Intelligence (AI), becomes imperative for efficiently managing energy resources. These technologies serve to coalesce elements of t...
| Main Authors: | , , , , |
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| Format: | Article |
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Multidisciplinary Digital Publishing Institute
2024
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| Online Access: | https://hdl.handle.net/1721.1/153410 |
| _version_ | 1826200083143589888 |
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| author | Camacho, José de Jesús Aguirre, Bernabé Ponce, Pedro Anthony, Brian Molina, Arturo |
| author2 | Massachusetts Institute of Technology. Department of Mechanical Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Mechanical Engineering Camacho, José de Jesús Aguirre, Bernabé Ponce, Pedro Anthony, Brian Molina, Arturo |
| author_sort | Camacho, José de Jesús |
| collection | MIT |
| description | As Smart Cities development grows, deploying advanced technologies, such as the Internet of Things (IoT), Cyber–Physical Systems, and particularly, Artificial Intelligence (AI), becomes imperative for efficiently managing energy resources. These technologies serve to coalesce elements of the energy life cycle. By integrating smart infrastructures, including renewable energy, electric vehicles, and smart grids, AI emerges as a keystone, improving various urban processes. Using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and the Scopus database, this study meticulously reviews the existing literature, focusing on AI technologies in four principal energy domains: generation, transmission, distribution, and consumption. Additionally, this paper shows the technological gaps when AI is implemented in Smart Cities. A total of 122 peer-reviewed articles are analyzed, and the findings indicate that AI technologies have led to remarkable advancements in each domain. For example, AI algorithms have been employed in energy generation to optimize resource allocation and predictive maintenance, especially in renewable energy. The role of AI in anomaly detection and grid stabilization is significant in transmission and distribution. Therefore, the review outlines trends, high-impact articles, and emerging keyword clusters, offering a comprehensive analytical lens through which the multifaceted applications of AI in Smart City energy sectors can be evaluated. The objective is to provide an extensive analytical framework that outlines the AI techniques currently deployed and elucidates their connected implications for sustainable development in urban energy. This synthesis is aimed at policymakers, urban planners, and researchers interested in leveraging the transformative potential of AI to advance the sustainability and efficiency of Smart City initiatives in the energy sector. |
| first_indexed | 2024-09-23T11:30:56Z |
| format | Article |
| id | mit-1721.1/153410 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T11:30:56Z |
| publishDate | 2024 |
| publisher | Multidisciplinary Digital Publishing Institute |
| record_format | dspace |
| spelling | mit-1721.1/1534102024-07-12T16:10:50Z Leveraging Artificial Intelligence to Bolster the Energy Sector in Smart Cities: A Literature Review Camacho, José de Jesús Aguirre, Bernabé Ponce, Pedro Anthony, Brian Molina, Arturo Massachusetts Institute of Technology. Department of Mechanical Engineering As Smart Cities development grows, deploying advanced technologies, such as the Internet of Things (IoT), Cyber–Physical Systems, and particularly, Artificial Intelligence (AI), becomes imperative for efficiently managing energy resources. These technologies serve to coalesce elements of the energy life cycle. By integrating smart infrastructures, including renewable energy, electric vehicles, and smart grids, AI emerges as a keystone, improving various urban processes. Using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and the Scopus database, this study meticulously reviews the existing literature, focusing on AI technologies in four principal energy domains: generation, transmission, distribution, and consumption. Additionally, this paper shows the technological gaps when AI is implemented in Smart Cities. A total of 122 peer-reviewed articles are analyzed, and the findings indicate that AI technologies have led to remarkable advancements in each domain. For example, AI algorithms have been employed in energy generation to optimize resource allocation and predictive maintenance, especially in renewable energy. The role of AI in anomaly detection and grid stabilization is significant in transmission and distribution. Therefore, the review outlines trends, high-impact articles, and emerging keyword clusters, offering a comprehensive analytical lens through which the multifaceted applications of AI in Smart City energy sectors can be evaluated. The objective is to provide an extensive analytical framework that outlines the AI techniques currently deployed and elucidates their connected implications for sustainable development in urban energy. This synthesis is aimed at policymakers, urban planners, and researchers interested in leveraging the transformative potential of AI to advance the sustainability and efficiency of Smart City initiatives in the energy sector. 2024-01-29T16:50:46Z 2024-01-29T16:50:46Z 2024-01-10 2024-01-26T14:11:03Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/153410 Energies 17 (2): 353 (2024) PUBLISHER_CC http://dx.doi.org/10.3390/en17020353 Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ application/pdf Multidisciplinary Digital Publishing Institute Multidisciplinary Digital Publishing Institute |
| spellingShingle | Camacho, José de Jesús Aguirre, Bernabé Ponce, Pedro Anthony, Brian Molina, Arturo Leveraging Artificial Intelligence to Bolster the Energy Sector in Smart Cities: A Literature Review |
| title | Leveraging Artificial Intelligence to Bolster the Energy Sector in Smart Cities: A Literature Review |
| title_full | Leveraging Artificial Intelligence to Bolster the Energy Sector in Smart Cities: A Literature Review |
| title_fullStr | Leveraging Artificial Intelligence to Bolster the Energy Sector in Smart Cities: A Literature Review |
| title_full_unstemmed | Leveraging Artificial Intelligence to Bolster the Energy Sector in Smart Cities: A Literature Review |
| title_short | Leveraging Artificial Intelligence to Bolster the Energy Sector in Smart Cities: A Literature Review |
| title_sort | leveraging artificial intelligence to bolster the energy sector in smart cities a literature review |
| url | https://hdl.handle.net/1721.1/153410 |
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