A state-of-the-art review on artificial intelligence for Smart Buildings

Article


Panchalingam, Rav and Chan, Ka C.. 2021. "A state-of-the-art review on artificial intelligence for Smart Buildings." Intelligent Buildings International. 13 (4), pp. 203-226. https://doi.org/10.1080/17508975.2019.1613219
Article Title

A state-of-the-art review on artificial intelligence for Smart Buildings

ERA Journal ID44915
Article CategoryArticle
AuthorsPanchalingam, Rav (Author) and Chan, Ka C. (Author)
Journal TitleIntelligent Buildings International
Journal Citation13 (4), pp. 203-226
Number of Pages24
Year2021
Place of PublicationUnited Kingdom
ISSN1750-8975
Digital Object Identifier (DOI)https://doi.org/10.1080/17508975.2019.1613219
Web Address (URL)https://www.tandfonline.com/doi/full/10.1080/17508975.2019.1613219
Abstract

The use of AI technologies in Smart Buildings is increasing as there are wide-scale benefits that can be derived from improving the efficiency of a building’s operation and management. Buildings currently account for around 40% of global energy use, with AI technologies offering the opportunity to significantly reduce energy consumption through better automation, control, and reliability. These technologies can also be utilised to improve the safety and comfort of building occupants. This paper provides a literature review of research that has been conducted into AI technologies for use in Smart Buildings across the major AI topics including expert systems, fuzzy logic, genetic algorithms, machine learning, machine vision, natural language processing, neural networks, and pattern recognition. This process resulted in the determination that the volume of research conducted to-date is skewed towards some AI topics such as machine learning, neural networks and pattern recognition over other topics such as deep learning and natural language processing. It has also served to provide insights into which areas are likely to benefit the most from focusing future research efforts in that direction.

KeywordsArtificial intelligence, smart building, intelligent building, machine learning, neural networks, deep learning, natural language processing, machine vision, fuzzy logic, expert systems, genetic algorithms, pattern recognition
ANZSRC Field of Research 2020469999. Other information and computing sciences not elsewhere classified
460999. Information systems not elsewhere classified
330299. Building not elsewhere classified
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Byline AffiliationsSchool of Management and Enterprise
Institution of OriginUniversity of Southern Queensland
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