재실자의 냉방제어를 위한 냉방 시스템 setpoint 예측 모델 개발
| 주 저자 | 남영도 |
|---|---|
| 공동 저자 | 정재원 |
| 소속 | 한양대학교 건축공학과 |
| Abstract | In this study, we proposed a neural network model to predict the air conditioning set points of occupants. Key parameters for the prediction is found with the previous literature. Along the found parameters, an artificial neural network (ANN) model is established, and trained with the data collected during actual occupancy. Preprocessing including to interpolate missing value and to normalize is conducted as well. The result showed the desired setpoint of the occupant can be estimated with the machine learning techniques, pointing the possibility of the retrofitting of the existing system to reflect the preference of the occupant. |
| Keyword | set point, artificial neural network, air-conditioning system, prediction model |
| 페이지 | pp. 0~0 |
| 논문 파일 | |
| 게재일시 | - |
| DOI | - |
| 학회/저널명 | 2024 한국생태환경건축학회 추계학술발표대회 |
| 년도 | 2024 |
| 추가 문구 | - |
| 등록 일시 | 2025-06-19 00:42:10 |