Semester 3

Title: Multiple linear regression model for finding the influencing factors for building temperatures 

Synopsis: This project is accomplished involving multiple linear regression for finding the influencing factors for building temperatures might involve collecting data on various factors that could potentially affect the temperature inside a building, such as Relative compactness, Surface Area, Wall Area, Overall Height, Orientation, Glazing Area, Glazing Area Distribution. The data is then used to build a multiple linear regression model, which is a statistical model that can be used to predict the temperature inside the building based on the basis of these different factors. Once the model has been trained, it could be used to identify which factors have the greatest influence the Heating Load & Cooling Load inside the building, and to make predictions about how the temperature is likely to change under different conditions. This information could be used to improve the energy efficiency of the building, or to design more comfortable and livable spaces for its occupants in future.