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Title Towards green smart cities using Internet of Things and optimization algorithms: A systematic and bibliometric review
ID_Doc 43463
Authors He, P; Almasifar, N; Mehbodniya, A; Javaheri, D; Webber, JL
Title Towards green smart cities using Internet of Things and optimization algorithms: A systematic and bibliometric review
Year 2022
Published
DOI 10.1016/j.suscom.2022.100822
Abstract 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 govern-ments 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 con-sumption and reduced pollution and emissions of greenhouse gases.
Author Keywords Algorithm; Energy Management; Optimization; Green City; Internet of Things; Energy; Power; Resource Management; Tourism
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:000899383500003
WoS Category Computer Science, Hardware & Architecture; Computer Science, Information Systems
Research Area Computer Science
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