A review of methods and techniques in building energy management systems for energy efficiency enhancement

Building Energy Management Systems (BEMS) are known as technological platforms that manage energy efficiency and sustainability in buildings. These technologies integrate control of heating, cooling, lighting, and other services, making optimum use of these resources. As governments worldwide prioritize energy efficiency, often through policies that encourage reduced consumption, BEMS have become increasingly important to achieve these goals. In this paper, the authors perform research on BEMS focused on improving energy efficiency in buildings. While earlier reviews have covered parts of this topic, our analysis uncovers several gaps in the literature that suggest promising lines of inquiry for future work on BEMS, addressing their technologies employed to improve energy efficiency. Additionally, this research discusses how recent breakthroughs, like artificial intelligence and machine learning, are creating fresh opportunities for innovation in BEMS design. Although these technologies expand what today’s systems can do, they also introduce new research challenges that must be addressed. This review’s goal is to build a strong foundation for the next generation of smarter, more sustainable control systems in BEMS.