Study on multi-step prediction method of passive energy-saving building energy consumption based on energy consumption perception

Passive energy-saving buildings have problems such as low energy consumption prediction accuracy and complex prediction process. A multi-step prediction method for energy consumption of passive energy-saving buildings based on energy consumption perception is proposed. Firstly, the related thermal parameters and building parameters of passive energy-saving buildings are calculated by steady-state calculation. Secondly, the equivalent thermal parameters of building air-conditioning load, air-conditioning load equivalent thermal parameters and air-conditioning load thermal parameters are determined by means of first-order differential equations, and the envelope structure is calculated. Finally, the ultrasonic sensor is set in the energy-saving building, and the energy consumption data of each part of the building is sensed to realise multi-step prediction. The experimental results show that the fluctuation of the predicted energy consumption value of the proposed algorithm is less than 1 J, the prediction accuracy is always above 90% and the time cost is about 1.54 s.