2002 年 67 巻 552 号 p. 63-68
For the economical operation of the floor heating system that is constructed latent/sensible heating storage materials with using off-peak electricity, the authors analyzed the prediction control system of the required thermal energy using neural networks considering the optimum temperature range of SET^*. (1) We determined the optimum temperature range of SET^* from results of the sensational responses from age. (2) We authors could construct neural network models that predicted the target SET^* at the beginning of the opening hours. (3) As result, SET^* had been kept within the optimum temperatuer range during the opening hours. And SET^* had been reached lower limit of the optimum temperature range at the end of the opening hours.