Machine Learning and Artificial Intelligence in Building Physics Education

Abstract

This series presents articles on the use of computer programmes in university teaching of building physics and building technology for architects and civil engineers. This contribution highlights the utilization of machine learning and artificial intelligence (AI) in building physics education, drawing upon the expertise of the Energy Design department. The research conducted within the department encompasses the development of custom-made digital tools, prototyping, and integration of sensors into energy concepts and the implementation of these concepts into building elements. It shows how the latest developments and the good availability and accessibility of algorithms and computing power have been used to train architects and how AI can be used to support the skills of the research and teaching team to create programs highly adapted to specific problems.