Artificial Intelligence Evolution in Smart Buildings for Energy Efficiency

Author:

Farzaneh HoomanORCID,Malehmirchegini Ladan,Bejan AdrianORCID,Afolabi Taofeek,Mulumba AlphonceORCID,Daka Precious P.

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.

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference126 articles.

1. Artificial Intelligence Illuminated;Coppin,2004

2. Artificial Intelligence: A Modern Approach;Russell,2016

3. Introduction to Artificial Intelligence;Ertel,2018

4. A proposal for the dartmouth summer research project on artificial intelligence, august 31, 1955;McCarthy;AI Mag.,2006

5. Fuzzy sets

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