Mobile QR Code QR CODE : Korean Journal of Air-Conditioning and Refrigeration Engineering
Korean Journal of Air-Conditioning and Refrigeration Engineering

Korean Journal of Air-Conditioning and Refrigeration Engineering

ISO Journal TitleKorean J. Air-Cond. Refrig. Eng.
  • Open Access, Monthly
Open Access Monthly
  • ISSN : 1229-6422 (Print)
  • ISSN : 2465-7611 (Online)
Title Development of Artificial Neural Network Model for the Prediction of Descending Time of Room Air Temperature
Authors 양인호 ; 김광우
Page pp.1038-1047
ISSN 12296422
Keywords HVAC ; 공조설비 ; Predictive control ; 예측제어 ; ANN ; Artificial Neural Network ; 인공신경망
Abstract The objective of this study is to develop an optimized Artificial Neural Network(ANN) model to predict the descending time of room air temperature. For this, program for predicting room air temperature and ANN program using generalized delta rule were developed, and learning data for 27 spaces using systems of experimental design were collected through simulation for predicting room air temperature. ANN was trained and the ANN model having the optimized values- learning rate, moment, bias, number of hidden layer, and number of neuron of hidden layer was presented.