| Title |
A Study on Prediction of Electricity Consumption considering Business Characteristics in Commercial Buildings - Focused on Daegu City - |
| Authors |
Kang, Yeon-Hee ; Cha, Gi-Wook ; Jeon, Gyu-Yeob ; Hong, Won-Hwa |
| Keywords |
Commercial Building ; Industrial Classification ; Electricity Consumption ; Regression Analysis ; Prediction Model |
| Abstract |
Reduction greenhouse gases(GHG) that are going on actively in the international movement. In the field of architecture, this situation is inevitable work. To establish plan for GHG, firstly we need to reduce energy consumption which is leading cause of GHG. For this we should know that how much electricity consumption we use. The target of this study is commercial buildings with various businesses. Their electricity consumption was analysed by business units rather than buildings. Firstly each business was divided into 13 sectors according to industrial classification and electricity consumption were analyzed for each industry. For commercial building electricity consumption is done by the private sector and construction management is also an autonomy system in private but integrated management system so that it is important to know. In this study using spss regression analysis, correlation analysis and the electricity prediction model is developed. Those lets know consumption of further analysis and forecasting of energy demand. |