Leveraging Machine Learning to Optimize Chiller Plant Controls

Machine learning (ML) is one of the defining technologies of our era, yet its application to HVAC controls is still in its infancy. At the same time, human-induced climate change is well underway, and it is becoming increasingly important to optimize HVAC operations to reduce energy consumption. In this article, we will explore how ML and optimal control methods can be used for this purpose and leverage the expert knowledge of engineers to deliver tangible value.