| 논문명 | 입주세대별 에너지 사용 요인 기반 가우시안 프로세스 예측 모델 개발/Development of a Gaussian Process Energy Prediction Model Using Energy Use Factors for Tenants in Office Buildings |
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| 저자명 | 윤영란(Yoon, Young Ran) ; 문현준(Moon, Hyeun Jun) |
| 발행사 | 한국건축친환경설비학회 |
| 수록사항 | 한국건축친환경설비학회 논문집 , Vol.10 No.2 |
| 페이지 | 시작페이지(138) 총페이지(6) |
| ISSN | 1976-6483 |
| 주제분류 | 환경및설비 |
| 주제어 | 에너지 사용 요인 ; 가우시안 프로세스모델 ; 인버스 모델 ; 예측 모델 ; 건물 에너지 Energy use factors ; Gaussian process model ; Inverse model ; Prediction model ; Building energy |
| 요약2 | Forecasting of energy consumption in buildings is crucial for energy efficient control in the operation stage. By using multi-variate approach in energy performance prediction, we can characterize building energy usage with a few available variables. The selection of variables in the prediction model is important for an accurate evaluation. However, very few studies have applied the variables related to building operation for prediction of energy consumption in buildings. So, in this study we propose a prediction model using energy use factors: occupant schedule data, operation data, equipment data to remove the impact of other variables on building performance; climate, usage and building envelope. This study reports the prediction model to estimated in January electricity consumption of each tenant in office buildings by using Gaussian process (GP) model. Analyses were performed with 26 variables related on building operation for 1,027 tenants in 13 offices in Seoul. The results show that the GP model using variables related to operation provides an accurate prediction and a low error. This study also established a method to identify a combination of variables that could make a more accurate estimation of energy consumption. |
| 소장처 | 한국건축친환경설비학회 |