Artificial Intelligence Evolution in Smart Buildings for Energy Efficiency

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 c...

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Bibliographic Details
Published in:Applied sciences 2021-01, Vol.11 (2), p.763
Main Authors: Farzaneh, Hooman, Malehmirchegini, Ladan, Bejan, Adrian, Afolabi, Taofeek, Mulumba, Alphonce, Daka, Precious P.
Format: Article
Language:English
Subjects:
Artificial intelligence
Automation
Buildings
Communication
Cost control
Energy consumption
Energy efficiency
Energy management
Evolution
Green buildings
Infrastructure
Internet of Things
Medieval period
Smart buildings
Smart cities
Supply & demand
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Summary: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.
ISSN:2076-3417
2076-3417
DOI:10.3390/app11020763