The scientists developed data-driven models to control a chiller in an office building more efficiently. These models accurately predict temperatures, cooling capacity, and output ratios of the chiller. By using these models, they found that the chiller's cold generation and electricity usage could be reduced by 12.2% and 18.9%, respectively.