Research on short-term energy consumption control method of green building based on peak density optimization

Abstract

In order to improve the short-term energy consumption control effect of green buildings and shorten the control time, this paper proposes a short-term energy consumption control method of green buildings based on density peak optimization. Firstly, the research status of green building energy consumption control is analyzed, and the short-term energy consumption data information of green building is obtained. Secondly, the definition of peak density algorithm is given, the short-term energy consumption control model of green building is constructed, and the initial cluster center of the short-term energy consumption model of green building is selected to calculate the probability density of the short-term energy consumption control model of green building. Finally, the adaptive genetic algorithm is used to control the short-term energy consumption of green buildings. The experimental results show that the research method can achieve good prediction accuracy in each season, and the short-term energy consumption control time of green buildings is only 3.2 seconds, indicating that the research method can effectively improve energy consumption control efficiency, shorten the short-term energy consumption control time of green buildings, and verify the superiority of the research method. At the same time, it indicates that the research method has certain application value in short-term energy consumption control of green buildings, and can provide a theoretical basis and data support for the field of short-term energy consumption control of green buildings.