機械学習を利用した空調システムシミュレーション自動生成ツールの開発　（第２報）熱交換器、冷却塔のグレーボックスモデルの開発

抄録

In this research, we develop a tool to automatically generate an HVAC R system simulation using machine learning for the purpose of effective use of BEMS data. In this paper, we construct a gray-box model of heat exchanger and cooling tower. In addition, we verify the accuracy of two models with simulation data and measured data. Finally, we compared accuracy of gray-box model with black-box model.