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The growth of intelligent buildings in smart cities that are equipped with smart devices based on the Internet of Things (IoT) is because of the advancement of technologies in the digital world. Intelligent buildings have a positive effect on the comfort of people's lives. The integration of IoT technology and machine learning is the output of a comfortable and intelligent building. The integration of the two technologies changes ordinary buildings to become smart; cost-effective; reduces energy loss, increases safety; and provides comfort and health to the people that could afford such houses. This paper will focus on different kinds of sensors that are used in intelligent buildings. Furthermore, the sensors will be categorized and compared. Finally, the types of machine learning algorithms and their objectives in intelligent buildings will be described. The purpose of this paper is to provide a comprehensive review of intelligent buildings and their concepts and to provide an overview of machine learning, communication, and its main challenges in intelligent buildings.

A survey of intelligent building automation with machine learning and IoT