Time genetic period of heat consumption in heat supply station based on data regression

Proposes a heat consumption prediction model based on historical data by analysing the main influencing factors of heat consumption in heat supply station. Predicts the data regression of heat consumption in the next first, third and seventh day by MATLAB software. The results show that the building heat consumption has time genetic characteristics, which is not only related to the outdoor temperature, but also to historical heat consumption of 7 to 10 days before. Divides time genetic period of heat consumption into three stages. It varies with different thermodynamic properties of the buildings. The newer the building, the higher the m value of time genetic period. Predicts the heat consumption of the next 1 day using this model, the result shows the less 5% of relative error.