Traditional air conditioning load forecasting methods have certain limitations or problems such as high computational workload and long cycle.This article proposes to use multiple sets of real-time data for regression analysis and prediction of air conditioning load when the conditions in the early planning stage are uncertain.Through correlation analysis of multiple pairs of data,the correlation between energy supply area,cooling capacity,and heating capacity is judged,and the regression equation is fitted.It is applied to actual engineering for air conditioning load prediction.By comparing the calculated values with traditional air conditioning load prediction methods,the relative error is found to be within 5%.This method can be used as a practical method for early load estimation under certain conditions.
关键词
负荷预测方法/能源中心负荷/回归分析/相关性
Key words
load forecasting methods/energy center loads/regression analysis/correlation
维普
万方数据