抄録
For the economical operations of the Latent floor-heating storage system using off-peak electricity in a school building, the authors analyzed the prediction control system of the required thermal energy in a classroom by using fuzzy inference. And, the authors carried out study of Neural network by using result that was obtained by simulation. Then the authors obtained the following results. (1) The next day's indoor mean temperature was approximately estimated by fuzzy set of required thermal energy of storage material. (2) The authors constructed the fuzzy-neural network model corresponding to outdoor mean temperature for the floor heating system using latent heat storage material. And the authors predict the required thermal energy by this model. Then the comfortable indoor temperature for students was evaluated.
