| Title |
The Dual Role of Artificial Intelligence in Developing Smart Cities |
| ID_Doc |
41800 |
| Authors |
Zamponi, ME; Barbierato, E |
| Title |
The Dual Role of Artificial Intelligence in Developing Smart Cities |
| Year |
2022 |
| Published |
Smart Cities, 5, 2 |
| DOI |
10.3390/smartcities5020038 |
| Abstract |
Defining smart city pillars, and their nature and essence, continues to be debated in the scientific literature. The vast amount of information collected by electronic devices, often regarded merely as a means of rationalizing the use of resources and improving efficiency, could also be considered as a pillar. Information by itself cannot be deciphered or understood without analysis performed by algorithms based on Artificial Intelligence. Such analysis extracts new forms of knowledge in the shape of correlations and patterns used to support the decision-making processes associated with governance and, ultimately, to define new policies. Alongside information, energy plays a crucial role in smart cities as many activities that lead to growth in the economy and employment depend on this pillar. As a result, it is crucial to highlight the link between energy and the algorithms able to plan and forecast the energy consumption of smart cities. The result of this paper consists in the highlighting of how AI and information together can be legitimately considered foundational pillars of smart cities only when their real impact, or value, has been assessed. Furthermore, Artificial Intelligence can be deployed to support smart grids, electric vehicles, and smart buildings by providing techniques and methods to enhance their innovative value and measured efficiency. |
| Author Keywords |
smart city pillars; Artificial Intelligence; smart grids; electric vehicles; smart buildings |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:000818383800001 |
| WoS Category |
Engineering, Electrical & Electronic; Urban Studies |
| Research Area |
Engineering; Urban Studies |
| PDF |
https://www.mdpi.com/2624-6511/5/2/38/pdf?version=1655114029
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