기계학습을 이용한 대공간의 온열환경 예측 방법

The evaluation of thermal environment is performed to maintain indoor environment thermally comfortable. However, it is difficult getting real-time thermal information at several measurement points due to the sensor installation cost and the difficulty of maintenance, and the complexity of calculation. Therefore, this paper proposes a process of predicting indoor thermal environment using machine learning for thermal comfort control of HVAC system at a real-time. PMV can be simply predicted from another predicted thermal factors by trained machine learning models.