A Bibliometric Review on Artificial Intelligence for Smart Buildings

Jiaxi Luo ()
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Jiaxi Luo: Dillard College of Business Administration, Midwestern State University, MSU Texas, 3410 Taft Blvd., Wichita Falls, TX 76308, USA

Sustainability, 2022, vol. 14, issue 16, 1-22

Abstract: This paper provides a critical review on the advancements of artificial intelligence in recent applications in building environments from the perspectives of key research hotpots, important research institutes, researchers, and their contributions. Associated technologies, such as Internet of things (IOT) technologies, and advanced operational strategies for promoting building performance are alos discussed in the paper. Bibliometric analysis on the platform CiteSpace quantitatively summarizes the key characteristics of works in the literature and their applications. IOT based sensing networks are analyzed, discussed, and summarized since they play a pivotal role in securing the accuracy and efficiencies in data acquisition so as to facilitate building energy management systems. Additionally, the algorithms associated with machine learning and data-driven technologies are reviewed in the applications such as building energy prediction, building management optimization, and their maintenance. This paper explores the emerging technologies and developing trends in the field so as to find potential routes for future studies (which will encourage the uptake of AI technologies in buildings).

Keywords: artificial intelligence; bibliometric analysis; CiteSpace; IOT; smart buildings (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:16:p:10230-:d:890692

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