| Title |
Effect of Measuring Period on Predicting the Annual Heating Energy Consumption for Building |
| Keywords |
Heating energy consumption ; 난방 에너지사용량 ; Regression analysis ; 회귀분석 ; Heating energy prediction ; 난방 에너지예측 ; Measuring period ; 측정기간 ; Daily average outdoor temperature ; 일평균 외기온도 |
| Abstract |
This study examined the temperature-dependent regression model of energy consumption based on various measuring period. The methodology employed was to construct temperature-dependent linear regression model of daily energy consumption from one day to three months data-sets and to compare the annual heating energy consumption predicted by these models with actual annual heating energy consumption. Heating energy consumption from a building in Daejon was examined experimentally. From the results, predicted value based on one day experimental data can have error over 100%. But predicted value based on one week experimental data showed error over 30%. And predicted value based on over three months experimental data provides accurate prediction within 6% but it will be required very expensive. |