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Through the analysis of the relevant power energy consumption factors of the large-scale public buildings, the integrated model based on multiple linear regression and self-regression methods is attained, of which the least square algorithm is chosen to make parameters estimation. -test and -test are applied to verify its availability. After power consumption data of large-scale public buildings acquired...
This thesis brings forward a new method to estimate the parameters a and b of non-equidistant GM(1,1) model. It directly calculates the parameters of non-equidistant GM(1,1) model on the basis of Euler formula, which is different from traditional method by constructing the background value. Results from a case study indicates the precision of simulation and prediction by this method is obviously higher...
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