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Smart City Drivers and Challenges in Energy and Water Systems

سائقو المدن الذكية والتحديات في أنظمة الطاقة والمياه
Authors: Amro M. Farid; Muhannad Alshareef; Parupkar Singh Badhesha; Chiara Boccaletti; Nélio Cacho; Claire-Isabelle Carlier; Amy Corriveau; +8 Authors

Smart City Drivers and Challenges in Energy and Water Systems

Abstract

The IEEE Smart Cities Initiative brings together the IEEE’s broad array of technical societies and organizations to advance the state of the art for smart city technologies for the benefit of society and to set the global standard in this regard by serving as a neutral broker of information amongst industry, academic, and government stakeholders. These smart city technologies draw upon expertise in several functional domains including: ● Sensors and Intelligent Electronic Devices ● Communication Networks & Cyber Security ● Systems Integration ● Intelligence & Data Analytics ● Management & Control Platforms Together, this functional expertise serves to achieve the mission of the IEEE Smart Cities initiative: 1. To be recognized as the authoritative voice and leading source of credible technical information and educational content within the scope of smart cities identified below. 2. To facilitate and promote both the collaborative and individual work of its Member societies regarding smart city technology. To that end, the IEEE Smart Cities initiative has identified several application domains in which to apply its expertise. These are: ● Smart energy systems ● Smart water systems ● Smart mobility systems ● Smart healthcare systems Each of these systems has generally developed in its own right in response to the needs and context of the domain. Each faces its own set of drivers and challenges. And yet, as each of these systems gains greater “digital intelligence”, recurring themes of technology integration do emerge. This sequence of two articles serves to highlight these domain-specific drivers and challenges within the broader smart city landscape. This first article focuses on smart energy and smart water systems. In the sequel article, smart mobility and healthcare systems are discussed.

{"references": ["S. O. Muhanji, A. E. Flint and A. M. Farid, EIoT: The Development of the Energy Internet of Things in Energy Infrastructure, Berlin:Springer-Verlag, 2019.", "W. C. Schoonenberg, I. S. Khayal and A. M. Farid, A Hetero-functional Graph Theory for Modeling Interdependent Smart City Infrastructure, Berlin:Springer-Verlag, 2018.", "Y. Yih, Handbook of Healthcare Delivery Systems, Boca Raton, FL:CRC Press, 2016.", "S. Shaheen, H. Totte and A. Stocker, Future of mobility white paper, 2018, [online] Available: https://escholarship.org/uc/item/68g2h1qv#author.", "P. Tsakalides, A. Panousopoulou, G. Tsagkatakis and L. Montestruque, Smart Water Grids: A Cyber-Physical Systems Approach, Boca Raton, FL:CRC Press, 2018.", "Intelligent water systems: The path to a smart utility, 2017."]}

Country
Italy
Keywords

Engineering management, Environmental economics, Economics, smart cities; energy systems; water systems, FOS: Political science, Internet of Things, Smart grid, Intelligent Water Systems, Water Systems, Smart Grids, State government, Engineering, Computer security, State (computer science), Government (linguistics), Business, Political science, Smart city, Energy, Public administration, Smart energy systems, Linguistics, Security Challenges in Smart Grid Systems, Computer science, Smart water systems, FOS: Philosophy, ethics and religion, Algorithm, Philosophy, Local government, Control and Systems Engineering, Electrical engineering, Physical Sciences, Telecommunications, FOS: Languages and literature, Smart City

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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