Thermal efficiency of the window shade

The purpose of this paper is to find the efficiency of window shades regarding building energy performance and explore the possibility of developing a model that enables users to find proper shades for their specific conditions. The paper investigates different options of shades and their related variables and finds the efficiency of the shades regarding energy load. Each variable was investigated for its effect on the heat loads. Results were used as input variables for neural network prediction model.  A prediction model was developed and trained based on the previous simulation results. Ten different shade cases were used to test the accuracy of the prediction model, and the outcomes of the prediction model were compared with energy simulation results to find its robustness.