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Prediction of Indoor Air Temperature Based on Deep Learning
Sensors and materials
Currently, to achieve the optimal thermal comfort for a given occupant, the optimal indoor air temperature should be set by the occupant himself/herself. Then the air conditioner can be used to control the actual indoor air temperature so that it converges to the optimal temperature. In this study, we develop a method for predicting the optimal indoor air temperature; thereby, the air conditioner can be adjusted automatically without the involvement of the occupant. We first apply the predicteddoi:10.18494/sam.2019.2290 fatcat:prv2gihrd5h4th3nlk6zr6e3au