This chapter presents a bibliometric analysis and a literature review on the application of artificial intelligence (AI) and swarm intelligence (SI) algorithms for building energy management. The analysis underscores the effectiveness of various AI and SI techniques for various buildings’ energy requirements, such as optimizing energy savings, CO2 concentration management, heating and cooling load optimization, HVAC systems, and thermal energy storage. It also explores the potential of these algorithms in Building Information Modeling (BIM). Notable advancements include predictive algorithms for energy consumption, multi-objective optimization for indoor air quality, and hybrid models for heating and cooling efficiency. An analysis regarding the types of algorithms used for each energy requirement is also conducted. The bibliometric analysis validates these findings and identifies new research directions, highlighting well-researched and underexplored topics. This study emphasizes the potential of AI and SI in advancing building energy management while calling for further exploration of SI applications in this field.

--

• Computer and Information Sciences - Natural Sciences
• Other Engineering and Technology Sciences - Engineering and Technology