Focusing on the research of intelligent control strategies for building energy systems, we adopt advanced control methods such as Model Predictive Control (MPC) to achieve forward-looking optimization of system operation.We develop adaptive control algorithms by establishing accurate building physical models, integrating multi-dimensional information such as weather forecasts, energy use behavior, energy prices, etc., to minimize energy consumption while safeguarding the quality of the indoor environment.Explore the innovative application of digital twin, reinforcement learning and other emerging technologies in the field of building control.