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The Coal Demand Prediction Based on the Grey Neural Network Model

In: Liss 2014

Author

Listed:
  • Wanjing Wu

    (Beijing Jiaotong University)

  • Xifu Wang

    (Beijing Jiaotong University)

Abstract

Along with rapid development of economy and society, the coal demand grows continuously. Therefore energy demand forecasting has important theoretic and realistic significance. This paper analyzed the influencing factors of coal demand, made use of grey prediction model, BP neural network model, and grey neural network model to forecast coal demand. Comparison of three model predictions, the forecast result of combined model is better than a single prediction model. Then using grey neural network model forecast coal demand of 2011–2016. According to the forecast results, put forward the policy recommendations about future development.

Suggested Citation

  • Wanjing Wu & Xifu Wang, 2015. "The Coal Demand Prediction Based on the Grey Neural Network Model," Springer Books, in: Zhenji Zhang & Zuojun Max Shen & Juliang Zhang & Runtong Zhang (ed.), Liss 2014, edition 127, pages 1337-1343, Springer.
    • Handle: RePEc:spr:sprchp:978-3-662-43871-8_194
    DOI: 10.1007/978-3-662-43871-8_194
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    Cited by:

    1. Osipov, Vasiliy & Zhukova, Nataly & Miloserdov, Dmitriy, 2019. "Neural Network Associative Forecasting of Demand for Goods," MPRA Paper 97314, University Library of Munich, Germany, revised 23 Sep 2019.
    2. Wang, Delu & Tian, Cuicui & Mao, Jinqi & Chen, Fan, 2023. "Forecasting coal demand in key coal consuming industries based on the data-characteristic-driven decomposition ensemble model," Energy, Elsevier, vol. 282(C).

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