Machine Learning Multivariate Regression Model for Prediction of Heat Gain in Refrigerator Compartment

The study focuses on the process of machine learning multivariate linear regression. The aim of the study is to reduce the computational burden for faster turnaround time for product development cycle. Refrigerator being a common home appliance involves multiple parameters which need to be optimized and involves rigorous simulation strategy. The study presents the simulations strategy that can be promising over experimental test, but with the need this can be improved using machine learning simulations. Study presents results from 3D heat gain, 1D heat gain simulations and results are compared with linear regression simulation.