KIEAE Journal

Korea Institute of Ecological Architecture and Environment (한국생태환경건축학회)
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Input Variable Decision of the Predictive Model for the Optimal Starting Moment of the Cooling System in Accommodations

숙박시설 냉방 시스템의 최적 작동 시점 예측 모델 개발을 위한 입력 변수 선정

  • Baik, Yong Kyu (Architectural Engineering, Seoil University) ;
  • Yoon, Younju (Samsung C&T Corporation, Construction Technology Center) ;
  • Moon, Jin Woo (Dept. of Building and Plant Engineering, Hanbat National University)
  • Received : 2015.06.20
  • Accepted : 2015.07.10
  • Published : 2015.08.31
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Abstract

Purpose: This study aimed at finding the optimal input variables of the artificial neural network-based predictive model for the optimal controls of the indoor temperature environment. By applying the optimal input variables to the predictive model, the required time for restoring the current indoor temperature during the setback period to the normal setpoint temperature can be more precisely calculated for the cooling season. The precise prediction results will support the advanced operation of the cooling system to condition the indoor temperature comfortably in a more energy-efficient manner. Method: Two major steps employing the numerical computer simulation method were conducted for developing an ANN model and finding the optimal input variables. In the first process, the initial ANN model was intuitively determined to have input neurons that seemed to have a relationship with the output neuron. The second process was conducted for finding the statistical relationship between the initial input variables and output variable. Result: Based on the statistical analysis, the optimal input variables were determined.

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References

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