SET^*の時系列変化を考慮した潜熱・顕熱蓄熱材併用型電気床暖房の予測制御に関する研究 : その1 ファジィ・ニューラルネットワーク融合モデルを用いた投入熱量の予測制御

概要

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For the economical operations of the floor heating system that constructed of latent/sensible heat storage materials with using off-peak electricity, we analyzed the prediction control system of the required thermal energy using fuzzy inference considering SET" change of time series. Next, we carried out study of Neural network by using result that was obtained by simulation that the performance of the system is evaluated. And we obtained the following results. (1)The next day's highest SET was approximately estimated by fuzzy set of required thermal energy of storage material. (2)We constructed the Fuzzy neural network model corresponding to heating load for the floor heating system constructed of heat storage materials.
社団法人日本建築学会の論文
2000-02-28