Artificial Intelligence Evolution in Smart Buildings for Energy Efficiency

Farzaneh, Hooman and Malehmirchegini, Ladan and Bejan, Adrian and Afolabi, Taofeek and Mulumba, Alphonce and Daka, Precious P. (2021) Artificial Intelligence Evolution in Smart Buildings for Energy Efficiency. Applied Sciences, 11 (2). p. 763. ISSN 2076-3417

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Abstract

The emerging concept of smart buildings, which requires the incorporation of sensors and big data (BD) and utilizes artificial intelligence (AI), promises to usher in a new age of urban energy efficiency. By using AI technologies in smart buildings, energy consumption can be reduced through better control, improved reliability, and automation. This paper is an in-depth review of recent studies on the application of artificial intelligence (AI) technologies in smart buildings through the concept of a building management system (BMS) and demand response programs (DRPs). In addition to elaborating on the principles and applications of the AI-based modeling approaches widely used in building energy use prediction, an evaluation framework is introduced and used for assessing the recent research conducted in this field and across the major AI domains, including energy, comfort, design, and maintenance. Finally, the paper includes a discussion on the open challenges and future directions of research on the application of AI in smart buildings.

Item Type: Article
Subjects: Digital Academic Press > Engineering
Depositing User: Unnamed user with email support@digiacademicpress.org
Date Deposited: 09 Jan 2023 10:20
Last Modified: 25 Apr 2024 09:01
URI: http://science.researchersasian.com/id/eprint/3

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