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.
Authors
- Mitra Madanchian (ORCID: https://orcid.org/0000-0003-0664-5865)
- Hamed Taherdoost (ORCID: https://orcid.org/0000-0002-6503-6739)
- Giovana Castanho
Institutions
- University Canada West (CA)
- Global University Systems (GB)
- Hog Administrative Marketing Services (Canada) (CA)
- Minnan University of Science and Technology (CN)
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