Towards green smart cities using Internet of Things and optimization algorithms: A systematic and bibliometric review

• Published in: Sustainable computing informatics and systems Vol. 36; p. 100822
• Main Authors: He, Ping, Almasifar, Nina, Mehbodniya, Abolfazl, Javaheri, Danial, Webber, Julian L.
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.12.2022
• Subjects: Algorithm; Energy; Energy Management; Green City; Internet of Things; Optimization; Power; Resource Management; Tourism; Tourism; Energy Management; Green City; Energy; Internet of Things; Algorithm; Optimization; Power; Resource Management
• ISSN: 2210-5379
• DOI: 10.1016/j.suscom.2022.100822

Energy efficiency is an important concern that the scientific community and society will have to deal with in the coming years. Power-efficient structures and effective energy resource management in critical locations, such as tourist spots, have become a crucial problem that must be considered by environmental scientists and governments worldwide. The primary objective is to decrease the ecological effect of energy usage. Also, smart city activities are currently being aided by many innovative technologies such as the Internet of things and cloud computing. Because of the lack of comprehensive study in this field, this study aims to present a systematic and bibliographic overview of the literature on improving the energy efficiency of smart city equipment. This page presents the geographical locations where most publications in this discipline have been released. It provides a wide-ranging, accurate, and novel review of literature on optimizing the energy performance of smart city components. Utilizing computational optimization algorithms in this domain also opens up new perspectives in terms of energy efficiency. The results showed that these algorithms have successfully optimized energy consumption and reduced pollution and emissions of greenhouse gases. •Presenting a systematic and bibliographic overview of the literature on improving energy efficiency in smart cities•Indicating the geographical locations where most publications in this discipline have been released.•Providing a wide-ranging and novel review of literature on optimizing energy performance in smart cities.•Utilizing optimization algorithms in this domain and opening up new perspectives in terms of energy efficiency.•Interpreting the results to indicate the effectiveness of current algorithms in reducing pollution of greenhouse gases.