System and method for optimization of energy consumption of hvac system in a data center

A system for optimization of energy consumption of a heating, ventilation, and air conditioning (HVAC) system in a data center, the system comprising:

• a memory;
• at least one processor coupled to the memory, wherein the at least one processor is configured to:
• receive a plurality of inputs associated with a data center at predetermined intervals, wherein the plurality of inputs comprises manipulated variable (MV) inputs and disturbance variable (DV) inputs;
• determine, using a machine learning (ML) model, a plurality of output variables of a heating, ventilation, and air conditioning (HVAC) system based on the MV inputs and the DV inputs;
• and
• predict MV inputs for reducing the energy consumption of the HVAC system in the data center,
• wherein to predict the at least one processor is configured to apply an optimization function on the plurality of output variables to generate the predicted MV inputs, and
• wherein the optimization function comprises plurality of parameters including Service level agreements (SLAs), total energy consumption of the HVAC system, and physics-based constraints, and wherein the optimization function defines a respective weight for a corresponding parameter of the plurality of parameters.