Economic Benefits of Smart City Technologies for Energy Management
- DOI
- 10.2991/978-94-6463-548-5_14How to use a DOI?
- Keywords
- Economic benefits; smart city; technology; energy management
- Abstract
The increasing urbanization and demand for sustainable development have positioned smart cities at the forefront of modern urban planning. This essay explores the transformative impact of smart city technologies, specifically the Internet of Things (IoT), Artificial Intelligence (AI), machine learning, and data analytics, on energy efficiency and economic development. Smart city technologies enable real-time monitoring, predictive maintenance, and data-driven decision-making, which could lead to significant improvements in energy management. By examining the integration of these technologies in smart cities, this paper highlights the resulting economic benefits, including cost savings, job creation, and increased investment attractiveness. Case studies and world examples provide practical insights into the successful implementation and outcomes of smart energy initiatives. Ultimately, this essay underscores the pivotal role of smart city technologies in fostering sustainable urban development and calls for continued innovation and investment to realize their full potential.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Junyue Li PY - 2024 DA - 2024/10/21 TI - Economic Benefits of Smart City Technologies for Energy Management BT - Proceedings of the 2024 3rd International Conference on Economics, Smart Finance and Contemporary Trade (ESFCT 2024) PB - Atlantis Press SP - 107 EP - 114 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-548-5_14 DO - 10.2991/978-94-6463-548-5_14 ID - Li2024 ER -