페이지 정보작성자 김지헌 작성일20-09-24 14:12 조회287회 댓글0건
- [국내비SCI]인공신경망을 이용한 건물의 에너지 모델 최적화 알고리즘 개발 및 검증에 관한 연구.pdf (1.7M) 16회 다운로드 DATE : 2020-09-24 14:12:43
This paper discusses the modeling methodologies and optimization methods for building energy system
using time series auto regression artificial neural networks. The model can be integrated into energy solution tools for
building energy assessment, optimization, and many other applications. The model predicts whole building energy consumptions as function of four input variables, dry bulb and wet bulb outdoor air temperatures, hour of day and type
of day. To train and test the models, data from simulations are used for the analysis. Advanced computational methods
are used for data analysis and preprocessing. Different neural network structures are tested along with various input
and feedback delays to determine the one yielding the best results. The optimization method was also developed to
automate the process of finding the best model structure that can produce the best accurate prediction against the actual
data. The results show that the developed model can provide results sufficiently accurate for its use in various energy
efficiency and saving estimation applications.
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