Prediction method of energy consumption in industrial production based on improved grey model Online publication date: Fri, 10-Mar-2023
by Huaxi Chen
International Journal of Global Energy Issues (IJGEI), Vol. 45, No. 2, 2023
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.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Global Energy Issues (IJGEI):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com