사용자 선호 냉방 환경 예측 알고리즘의 거주 환경 적용
| 주 저자 | 김태연 |
|---|---|
| 공동 저자 | 김세헌, 남영도, 정재원 |
| 소속 | - |
| Abstract | This study proposes an algorithm for predicting occupant-preferred cooling environments to enable automatic air-conditioner control in residential environments. Conventional PMV–PPD models have difficulty reflecting individual characteristics, and measuring is practically infeasible. An artificial neural network (ANN) model was developed using indoor environmental data and air-conditioner control histories to predict the preferred temperature range under cooling conditions. The algorithm was developed through occupant experiments analyzing control behavior and thermal responses, and was validated in an actual residence environment, confirming occupant responsiveness. This study contributes to the development of practical occupant-centered automatic cooling control technology for residential environments. |
| Keyword | : Automatic Control, Building Energy, Air Conditioning, Thermal Preference, Artificial Intelligence |
| 페이지 | - |
| 논문 파일 | 없음 |
| 게재일시 | 2025-10 |
| DOI | - |
| 학회/저널명 | 2025 대한건축학회 추계학술발표대회 |
| 년도 | 2025 |
| 추가 문구 | - |
| 등록 일시 | 2025-12-24 15:46:56 |