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

Authors: Huaxi Chen

Addresses: College of Science, Bengbu University, Bengbu, Anhui 233030, China

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.

Keywords: improved grey model; energy consumption; cluster analysis; interpolation method; energy consumption status parameters; fluctuation of production factors.

DOI: 10.1504/IJGEI.2023.129503

International Journal of Global Energy Issues, 2023 Vol.45 No.2, pp.101 - 112

Received: 03 Mar 2022
Accepted: 31 May 2022
Published online: 10 Mar 2023 *

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