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http://dx.doi.org/10.6107/JKHA.2011.22.3.113

Development of ANN- and ANFIS-based Control Logics for Heating and Cooling Systems in Residential Buildings and Their Performance Tests  

Moon, Jin-Woo (전남대학교 바이오하우징 연구사업단)
Publication Information
Journal of the Korean housing association / v.22, no.3, 2011 , pp. 113-122 More about this Journal
Abstract
This study aimed to develop AI- (Artificial Intelligence) based thermal control logics and test their performance for identifying the optimal thermal control method in buildings. For this objective, a conventional Two-Position On/Off logic and two AI-based variable logics, which applied ANN (Artificial Neural Network) and ANFIS (Adaptive Neuro-Fuzzy Inference System), have developed. Performance of each logic was tested in a typical two-story residential building in U.S.A. using the computer simulation incorporating MATLAB and IBPT (International Building Physics Toolbox). In the analysis of the test results, AI-based control logic presented the advanced thermal comfort with stability compared to the conventional logic while they did not show significant energy saving effects. In conclusion, the predictive and adaptive AI-based control logics have a potential to maintain interior air temperature more comfortably, and the findings in this study could be a solid foundation for identifying the optimal thermal control method in buildings.
Keywords
Artificial Intelligence; Artificial Neural Network; Adaptive Neuro-Fuzzy Inference System; Thermal Control;
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Times Cited By KSCI : 1  (Citation Analysis)
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