المقالات العلمية

Development of An Algorithm For Daylight Simulation and Prediction in Buildings Using A Deep Learning Approach

… lding. The deep learning approach for the prediction of daylight is based on the recurrent neural network Batch Normalisation-long short-term memory (BN-LSTM) model because daylight is a time-series occurrence. The accuracy of the model is less than 10% for the daylight lux level in the building, indicating that at an …