AI-Powered Sustainability in Smart Cities

This article analyses the concepts behind Smart Cities, and its integration with Information, Communications Technology (ITC), the Internet of Things (IoT) and Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL). A smart city is a city which embraces the combination of the economy with collaboration and technology. These cities have their focus on resource efficiency and in the lenses of sustainability, it becomes a city who uses its smart resources to be environmentally amicable and reduce the carbon footprint. We will be covering an introduction to power grids, environment, transportation, and waste management systems. With the focus on Energy Management, we will further discuss the integration IoT and AI to power grids. The article addresses the main benefits of the application of AI to Energy Systems such as reduced carbon emissions from nonrenewable energy resources, energy waste prevention in homes and organizations through ML and DL, it also includes growth and infrastructure management, improved habits of consumption, and the adaptation and mitigation to climate change. This article also addresses challenges of the application of AI to Energy Management Systems, such as, ethical considerations regarding data privacy, accurate forecasting, and the decrease in funding towards green energy solutions and un updated AI educational systems.

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Institutions

Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.04.525
Citations
4
Primary Topic
Smart Cities and Technologies
Type
article
Field-Weighted Citation Impact
4.54
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article

AI-Powered Sustainability in Smart Cities

Mitra Madanchian, Hamed Taherdoost, Giovana Castanho
4 citations
Procedia Computer Science
Smart Cities and Technologies
4.54
article

AI-Powered Sustainability in Smart Cities

Mitra Madanchian, Hamed Taherdoost, Giovana Castanho
article en
4 citations

Abstract

This article analyses the concepts behind Smart Cities, and its integration with Information, Communications Technology (ITC), the Internet of Things (IoT) and Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL). A smart city is a city which embraces the combination of the economy with collaboration and technology. These cities have their focus on resource efficiency and in the lenses of sustainability, it becomes a city who uses its smart resources to be environmentally amicable and reduce the carbon footprint. We will be covering an introduction to power grids, environment, transportation, and waste management systems. With the focus on Energy Management, we will further discuss the integration IoT and AI to power grids. The article addresses the main benefits of the application of AI to Energy Systems such as reduced carbon emissions from nonrenewable energy resources, energy waste prevention in homes and organizations through ML and DL, it also includes growth and infrastructure management, improved habits of consumption, and the adaptation and mitigation to climate change. This article also addresses challenges of the application of AI to Energy Management Systems, such as, ethical considerations regarding data privacy, accurate forecasting, and the decrease in funding towards green energy solutions and un updated AI educational systems.

Procedia Computer ScienceVol. 258
University Canada West (CA), Global University Systems (GB), Hog Administrative Marketing Services (Canada) (CA), Minnan University of Science and Technology (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 5%
Smart Cities and Technologies
4.54
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AI-Powered Sustainability in Smart Cities — Mitra Madanchian, Hamed Taherdoost, et al. · Procedia Computer Science (2025) | TGRS Research Map | TGRS