Energy-saving control method for heating, ventilating and air conditioning of building

The invention discloses a building heating ventilation air conditioner energy-saving control method, and belongs to the field of air conditioner energy-saving control methods, and the method comprises the following steps: data collection: collecting real-time data of a building, the real-time data comprising building heat consumption, geographic data of the position of the building, and weather data of the position of the building; data preprocessing: the collected data is preprocessed, and preprocessing comprises data cleaning and normalization; model training: training a time sequence prediction model and a gating residual network to predict future energy consumption of the building; strategy optimization, wherein a reinforcement learning algorithm is adopted to optimize a control strategy of the building; and deploying the model, namely deploying the trained model to practical application. According to the method, the time sequence prediction model and the gating residual network are adopted to predict the