空調熱源システムにおける人工知能を用いたモデル予測制御に関する研究　（その５）蓄熱槽運転を優先とする従来制御とモデル予測制御の比較実験

抄録

The present study aims to develop the model predictive control (MPC) strategy using artificial intelligence (AI) for a building heat source system with thermal energy storage (TES). As a result, the MPC strategy could reduce the operating cost by 9.7–22.5% compared to rule-based control strategies that prioritize the discharging operation of TES.