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2018 Vol.12, Issue 3 Preview Page

Research Article

30 June 2018. pp. 245-252
Abstract
References
1
석호태, 김광우. (2001). 사무소 건물의 설계변수 열성능 평가 및 부하예측방정식 개발. 대한설비공학회, 13(9), 914-922.
2
유성연, 한규현, 이제묘, 한승호. (2008). 빙축열 시스템의 효율적인 제어를 위한 냉방부하 예측에 관한 연구. 대한설비공학회, 20(2), 128-136.
3
유성연, 한규현. (2010). 건물 면적을 이용한 시간별 냉방부하 예측에 관한 연구. 대한설비공학회, 22(11), 798-804.
4
전병기, 김의종. (2017). 인공신경망을 이용한 건물의 단기 부하 예측 모델. 대한설비공학회, 29(10), 497-503.
5
백창인, 한화택, 장경진. (2014). 기계학습 기법을 이용한 빌딩 난방부하 예측. 대한설비공학회학술발표대회논문집, 6, 253-255.
6
전병기. (2018). 시스템 운전 계획을 위한 학습기반 건물 부하 예측 모델 개발에 관한 연구. 석사학위논문. 인하대학교..
7
Chow, T.M.S., Leung, C.T. (1996). Neural Network based Short-Term Load Forecasting Using Weather Compensation. IEEE Transactions on Power Systems., 11(4), 1736-1742.
8
Ekici, B.B., Aksoy, U.T. (2009). Prediction of building energy consumption by using artificial neural networks. Advances in Engineering Software, 40(5), 356-362.
9
EZhuang, J., Chen, Y., Chen, X. (2018). A new simplified modeling method for model predictive control in a medium-sized commercial building: A case study. Building and Environment, 127, 1-12.
Information
  • Publisher :Korean Institute of Architectural Sustainable Environment and Building Systems
  • Publisher(Ko) :한국건축친환경설비학회
  • Journal Title :Journal of Korean Institute of Architectural Sustainable Environment and Building Systems
  • Journal Title(Ko) :한국건축친환경설비학회논문집
  • Volume : 12
  • No :3
  • Pages :245-252
  • Received Date : 2018-04-26
  • Revised Date : 2018-06-25
  • Accepted Date : 2018-06-25
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