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2020 Vol.11, Issue 4 Preview Page

General Article

December 2020. pp. 222-230
Abstract
Recently, the demand for thermal comfort of occupants in the building is increasing, and various studies to improve comfort are being actively conducted, but the studies predicted using time-series data are insufficient. Therefore, this study used time-series data to control temperature changes in an indoor space through an LSTM model to measure and predict the occupant’s body temperature and humidity data, and temperature and humidity data of individual and common spaces. Actual thermal comfort values and predicted values were compared and analyzed through various indicators, and the performance of the model was evaluated. As a result, when the actual thermal comfort is expressed from -3 to +3 on a 7-point scale, the MSE is within the range of 0.13, MAE is within the range of 0.25 to 0.28, and RMSE is within the range of 0.36 to 0.37. Therefore, these results were analyzed that the LSTM model can predict the thermal comfort of occupants.
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Information
  • Publisher :Sustainable Building Research Center (ERC) Innovative Durable Building and Infrastructure Research Center
  • Publisher(Ko) :건설구조물 내구성혁신 연구센터
  • Journal Title :International Journal of Sustainable Building Technology and Urban Development
  • Volume : 11
  • No :4
  • Pages :222-230
Journal Informaiton International Journal of Sustainable Building Technology and Urban Development International Journal of Sustainable Building Technology and Urban Development
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