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AI-based physical and virtual platform with 5-layered architecture for sustainable smart energy city developmentopen access

Authors
Park, SangukLee, SanghoonPark, SangminPark, Sehyun
Issue Date
Aug-2019
Publisher
MDPI AG
Keywords
Artificial intelligence; Digital-twin; Energy; Internet of Things; Layering architecture; Platform; Smart home/building; Sustainable smart energy city
Citation
Sustainability (Switzerland), v.11, no.16
Journal Title
Sustainability (Switzerland)
Volume
11
Number
16
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/39021
DOI
10.3390/su11164479
ISSN
2071-1050
2071-1050
Abstract
To build sustainable smart energy cities (SECs) around the world, many countries are now combining customized services and businesses within their energy infrastructure and urban environments. Such changes could then promote the development of platforms that ultimately provide benefits for citizens such as convenience, safety, and cost savings. Currently, the development of technologies for SECs focuses on independent products and unit technology. However, this is problematic, as it may not be possible to develop sustainable cities if there is a lack of connectivity between various elements within the SEC. To solve such problems, this paper presents an AI-based physical and virtual platform using a 5-layer architecture to develop a sustainable smart energy city (SSEC). The architecture employs both a top-down and bottom-up approach and the links between each energy element in the SSEC can readily be analyzed. The economic analysis based on return on investment (ROI) is carried out by comparing the economic benefits before and after the application of this system. Deploying the proposed platform will enable the speedy development and application of new services for SSECs and will provide SSECs with measures to ensure sustainable development, such as rapid urban development, and cost reductions.
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