Publication | Open Access

Improving the out-of-sample generalization ability of data-driven chiller performance models using physics-guided neural network

EngineeringMachine LearningData ScienceOut-of-sample Generalization AbilityPhysic Aware Machine LearningNumerical SimulationProcess ControlModeling And SimulationThermal ModelingHeat TransferPhysics-guided Neural NetworkThermal EngineeringRefrigeration