老人ホームにおける深夜電力を使用した潜熱・顕熱築熱材併用型電気床暖房の予測制御に関する研究 : その4 可能性推定モデルを内含させたニューラルネットワークモデルを用いた負荷予測の信頼性

抄録

For the economical operations of the floor heating system that constructed of latent/sensible heat storage materials with using off-peak electricity, the authors analyzed the prediction control system of the required thermal energy by load prediction using neural network including possibility presumption model. Next the authors confirmed neural network including possibility presumption model. The following results are clarified. (1) The authors could constructed one Neural network including possibility presumption model that could predict load of whole winter season. (2) The authors could predict same maximum heating temperature of storage materials that predicted already reported.