Artificial intelligence for building management systems: a review of data and security challenges

Abstract

In the context of enhancing the energy efficiency of buildings, there is a growing emphasis on the development of smart buildings and the optimisation of energy management systems. The integration of artificial intelligence into the control of building indoor climate systems represents a novel approach for energy conservation. However, it is imperative to recognise that the selection of the AI model is not the sole determining factor in the efficacy of this approach. The quality, quantity and reliability of the data, its availability, and other pertinent considerations, such as the ethical utilisation of personal data, are also crucial factors. This paper discusses the data-related challenges of using artificial intelligence to improve the control of HVAC systems and provides insights and recommendations.