Multi‐Scale Computing for a Sustainable Built Environment

Song, Houbing; Srinivasan, Ravi; Sookoor, Tamim; Jeschke, Sabina

doi:10.1002/9781119226444.ch3

Cited by 3 publications

(2 citation statements)

References 136 publications

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“…Among the 17 SDGs is SDG 11 with targets that include providing affordable yet safe housing, sustainable transportation, and green public spaces, enhancing air and water quality, disaster resilience, urbanization, and industrialization, and safeguarding natural and cultural legacies worldwide (Abastante et al, 2021). Given the complex nature of the goals, analysts have proposed the use of computation tools such as AI, ML, deep learning (DL), and the Internet of Things (IoT) to collect, organise, and analyse the complex data required to tackle such socio-economic and environmental challenges facing humanity (Elsawah et al, 2020;Halkos and Tsilika, 2021;Song et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

New Insights into the Research Landscape on the Application of Artificial Intelligence in Sustainable Smart Cities: A Bibliometric Mapping and Network Analysis Approach

Zaïdi

Ajibade

Musa

et al. 2023

IJEEP

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Humanity’s quest for safe, resilient, and liveable cities has prompted research into the application of computational tools in the design and development of sustainable smart cities. Thus, the application of artificial intelligence in sustainable smart cities (AISC) has become an important research field with numerous publications, citations, and collaborations. However, scholarly works on publication trends and the research landscape on AISC remain lacking. Therefore, this paper examines the current status and future directions of AISC research. The PRISMA approach was selected to identify, screen, and analyse 1,982 publications on AISC from Scopus between 2011 and 2022. Results showed that the number of publications and citations rose from 2 to 470 and 157 to 1,540, respectively. Stakeholder productivity analysis showed that the most prolific author and affiliation are Tan Yigitcanlar (10 publications and 518 citations) and King Abdulaziz University (23 publications and 793 citations), respectively. Productivity was attributed to national interests, research priorities, and national or international funding. The largest funder of AISC research is the National Natural Science Foundation of China (126 publications or 6.357 percent of the total publications). Keyword co-occurrence and cluster analyses revealed 6 research hotspots on AISC: digital innovation and technologies; digital infrastructure and intelligent data systems; cognitive computing; smart sustainability; smart energy efficiency; nexus among artificial intelligence, Internet of Things, data analytics and smart cities. Future research would likely focus on the socio-economic, ethical, policy, and technical aspects of the topic. It is envisaged that global scientific interest in AISC research and relevant publications, citations, products, and services will continue to rise in the future.

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Section: Introductionmentioning

confidence: 99%

New Insights into the Research Landscape on the Application of Artificial Intelligence in Sustainable Smart Cities: A Bibliometric Mapping and Network Analysis Approach

Zaïdi

Ajibade

Musa

et al. 2023

IJEEP

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“…Data and its openness are tools for effective monitoring and planning of decarbonisation at different scales [11] and for different technology integration [12]. It implies multi-energy systems and analysis [13] for managing stochastic behaviour of RES involving prosumers in the smart grid environment [14] with the help of the demand response (DR) program [15].…”

Section: Introductionmentioning

confidence: 99%

Solar Energy Data Analytics: PV Deployment and Land Use

Mancini

Nastasi

2020

Energies

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EU targets for sustainable development call for strong changes in the current energy systems as well as committed protection of environmental resources. This target conflicts if a policy is not going to promote the compatible solutions to both the issues. This is the case of the additional renewable energy sources to be exploited for increasing the share in the electricity mix and in the gross final energy consumption. Solar energy is, currently, the cheapest solution in Southern European Countries, like Italy. In this paper, thanks to the availability of three open databases provided by National Institutions, the authors compared the historic trends and policy scenarios for soil consumption, electricity consumption, and renewable electricity production to check correlations. The provincial scale was chosen as resolution of the analysis. The deviations from the policy scenarios was then addressed to identify the demand for policy recommendations and pathways to promote in order to achieve the target for renewable electricity share as well as the reduction in soli consumption trend in 2030. The role of renewables integrated in the existing contexts, such as building integrated photovoltaics, is considered a key driver for solving this issue.

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A New Perspective on Decision Making and Coordination in Smart City Projects

Atac¹,

Oktay

2021

Artificial Intelligence Systems and the Internet of Things in the Digital Era

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Multi‐Scale Computing for a Sustainable Built Environment

Cited by 3 publications

References 136 publications

New Insights into the Research Landscape on the Application of Artificial Intelligence in Sustainable Smart Cities: A Bibliometric Mapping and Network Analysis Approach

New Insights into the Research Landscape on the Application of Artificial Intelligence in Sustainable Smart Cities: A Bibliometric Mapping and Network Analysis Approach

Solar Energy Data Analytics: PV Deployment and Land Use

A New Perspective on Decision Making and Coordination in Smart City Projects

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