M.A. Thesis:

Prediction of Energy Efficiency of smart bulding using Committee Machine

In recent years, we have seen energy problems in the domestic and industrial sectors. Energy is one of the most important debates of the world's societies, so that many countries have taken steps with the warming of the earth to optimize their consumption. Harm caused by waste of energy consumption in the building has increasingly growing. Therefore, by using some facilities, a building could be kept warm by five degrees in winter and ten degrees cooler in the summer. The purpose of this study is prediction of energy consumption in the two sections of cooling and heating system, which was studied using eight factors of the building. Among these factors in the heating system, the surface area and wall area, ceiling area and crust area, and the overall height of the building and the orientation are effective in the waste of heating energy And also six factors include: the relative compression in the crusts and the area of the surface and the wall, the ceiling area and the crust area, and the overall height of the building and direction are in the waste of cooling system, and ultimately committee machine using voting system was used to predict the waste of energy and also the results as to the accuracy for both heating and cooling system using MATLAB software achieved 79 percent for heating and 86 percent for cooling system.

Keywords: heating system, cooling system, committee machine, voting system