Multivariate linear regression modeling method for transformer substation energy consumption reference correction
A technique of multiple linear regression and multiple regression equations, applied in the field of substation evaluation, can solve problems such as inability to evaluate energy efficiency and changes in energy consumption of substations
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[0022] The specific implementation manners of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0023] like figure 1 As shown, the specific steps of the energy consumption benchmark correction method are: Step (1): Determine the source of sample data and the information data structure of the corresponding substation; Step (2): Determine the impact of the energy consumption benchmark model used to establish the energy efficiency evaluation of the substation Factors; step (3): establish a multiple linear regression model; step (4): use sample data to estimate the constant term and regression coefficient in the multiple regression equation; step (5): check the significance of the multiple regression equation ; Step (6): Use the "stepwise regression method" to select independent variables; Step (7): Determine the benchmark model of substation energy consumption; Step (8): Evaluate the energy efficiency of the substation.
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