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Time-Delayed Polynomial Grey System Model with the Fractional Order Accumulation

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  • Lin Chen
  • Zhibin Liu
  • Nannan Ma

Abstract

In this work, a novel time-delayed polynomial grey prediction model with the fractional order accumulation is put forward, which is abbreviated as TDPFOGM(1,1), based on the new grey system theory to predict the small sample in comparison with the existing forecasting models. The new model takes into account the nonhomogeneous term and the priority of new information can be better reflected in the in-sample model. The data in this paper all come from the existing literatures. The results demonstrate that the TDPFOGM(1,1) model outperforms the TDPGM(1,1) and FOGM(1,1) model.

Suggested Citation

  • Lin Chen & Zhibin Liu & Nannan Ma, 2018. "Time-Delayed Polynomial Grey System Model with the Fractional Order Accumulation," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-7, November.
    • Handle: RePEc:hin:jnlmpe:3640625
    DOI: 10.1155/2018/3640625
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    Cited by:

    1. Yang, Yang & Wang, Xiuqin, 2022. "A novel modified conformable fractional grey time-delay model for power generation prediction," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).

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