Electricity Consumption Prediction for Xinjiang Electric Energy Replacement
Joint Authors
Song, Xinfu
Liang, Gang
Li, Changzu
Chen, Weiwei
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-03-20
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
In recent years, the phenomenon of wind and solar energy abandoned in Xinjiang’s new energy has become severe, the contradiction between the supply and demand of the power grid is obvious, and the proportion of power in the energy consumption structure is relatively low, thus hindering the development of Xinjiang’s green power.
In this context, the focus of Xinjiang’s power has shifted to promote the development of electric energy replacement.
Therefore, using the Xinjiang region as an example, we first select the important indicators such as the terminal energy substitution in Xinjiang, added value of the secondary industry, population, terminal power consumption intensity, and per capita disposable income.
Subsequently, eight combined forecasting models based on the grey model (GM), multiple linear regression (MLR), and error back propagation neural network (BP) are constructed to predict and analyse the electricity consumption of the whole society in Xinjiang.
The results indicate the optimal weighted combination forecasting model, GM-MLR-BP of the induced ordered weighted harmonic averaging operator (IOWHA operator), exhibits better prediction accuracy, and the effectiveness of the proposed method is proven.
American Psychological Association (APA)
Song, Xinfu& Liang, Gang& Li, Changzu& Chen, Weiwei. 2019. Electricity Consumption Prediction for Xinjiang Electric Energy Replacement. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1195116
Modern Language Association (MLA)
Song, Xinfu…[et al.]. Electricity Consumption Prediction for Xinjiang Electric Energy Replacement. Mathematical Problems in Engineering No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1195116
American Medical Association (AMA)
Song, Xinfu& Liang, Gang& Li, Changzu& Chen, Weiwei. Electricity Consumption Prediction for Xinjiang Electric Energy Replacement. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1195116
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1195116