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Regression model for heat consumption monitoring and forecasting

... first part of the paper, the parameters for the regression model are determined and a statistical analysis of the obtained model is performed. In the second part of the paper, to eliminate the multicollinearity of the regression equation, the number of dependent variables in the model is reduced. A statistical analysis of the new regression model and the exponential regression model are carried out. The heat consumption values obtained using these models are compared with the statistical data. The conclusions ...

Теги: linear regression , pipelines , dependent variables , exponential regression , heat supply systems , high-quality monitoring , linear regression models , methodological approach , multiple regression model , s
Раздел: ИСЭМ СО РАН


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