Use of data in recent years, the establishment of a single variable first order gray prediction model to predict the 2011-2020 actual gdp in Shanghai, energy consumption and carbon emissions. Gray prediction model has good prediction results, the model predictions, the average relative percentage er

In recent years, use of the data, the creation of the single variable step gray forecast model in Shanghai in 2011 - 2020 real GDP, energy consumption and carbon emissions. Gray forecast models have a very good forecast results, all the models predict the average relative value per 100 error (MAPE)

Using in recent years data, establishes a single variable step gray forecast model to Shanghai 2011-2020 year actual GDP, the energy expense and the carbon withdrawal carries on the forecast. The gray forecast model has the very good forecast effect, all models forecast the value average relative pe

Use of data in recent years, a single variable-order of grey prediction model for Shanghai 2011-2020 real GDP, energy consumption and carbon emissions projections. Grey forecast model has good predictive results, all models to predict the average relative percentage error (MAPE) is less than 3%. Sha

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