There has been a considerable interest in the development and installation of the building facade system using a dynamic motion which is called a kinetic facade system. Since the kinetic facade system can respond to the change of the external weather conditions, this can play a key role in saving building energy consumption and satisfying occupant’s thermal and visual comforts. Although the building application of the kinetic facade systems continues to increase because of its benefits, the features of the kinetic system cause relatively high installation costs compared to a conventional fixed facade system. Therefore, evaluating a performance of the kinetic facade system in the early design stages is becoming more important. However, the current process for evaluating the performance using a simulation tool is complicated and time-consuming process because the dynamic motion of the kinetic system. It takes a significant amount of time due to the repetitive simulation process associated with complex geometry and dynamic movements. Therefore, most studies on kinetic performance have limitations in grasping the range of time related to performance and specificity of kinetic movement. Thus, this research suggested a prediction methodology using a regression model for a customized kinetic façade system. The regression model allowed user to compare the performance of the kinetic facade system without a simulation process. Also, it can be used to predict an optimal angle of a kinetic motion at a specific point in time.