database

The following methods are used to collect cloud-based BIM data. In this method, architectural designs, structural properties, material specifications and energy usage of educational buildings will be generated using cloud-based BIM systems. After data collection, accuracy and consistency must be ensured by cleaning and standardizing the collected data which is called preprocessing. Moving to the next step is dimensionality reduction using “Principal Component Analysis (PCA)”, to overcome the problem of focusing on the important factors that have a significant impact on energy usage and sustainability. After dimensionality reduction comes regression analysis which is performed by Light Gradient Boosting Machine - Neural Network - Model Predictive Control (LightGBM-NN based MPC) in this case for analysis. For classification, a hybrid technique Support Vector Machine - Neural Network - Genetic Algorithm (SVM-NN-GA) is used.