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Prediction method of energy consumption in industrial production based on improved grey model

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  • Huaxi Chen

Abstract

In order to reduce the prediction error of energy consumption, a method of energy consumption in industrial production based on improved grey model is proposed. After collecting the energy consumption data, the cluster analysis and interpolation method are used to realise the abnormal value processing and vacancy data processing of the energy consumption data. On this basis, the grey model is constructed, in which the state parameters of energy consumption are introduced, and the influence of production factor fluctuation on energy consumption is considered to realise the accurate prediction. The test results show that the relative error of the design method is less than 0.12% for the total electric energy consumption prediction results, less than 0.80% for the total steam energy consumption prediction results, and less than 0.85% for the total coal energy consumption prediction results.

Suggested Citation

  • Huaxi Chen, 2023. "Prediction method of energy consumption in industrial production based on improved grey model," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 45(2), pages 101-112.
    • Handle: RePEc:ids:ijgeni:v:45:y:2023:i:2:p:101-112
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