DeepCooling Certified

Based on AI and big data technologies, DeepCooling accurately predicts and matches the optimal parameter combination of cooling in buildings by modeling with machine learning using collected operation indexes of key equipment in the cooling chain and monitoring data of dynamic environment and energy, and enhances cooling effect and saves cost through dynamically adjusting parameters in each link of cooling systems.

DeepCooling mainly models various physical systems such as load, heating and cooling of the whole data center by using historical data, and then optimizes the control of the cooling system based on the prediction results of loads, and upgrades the traditional feedback-based control of the cooling system to model-based feedforward control.