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Continuous fractional-order grey model and electricity prediction research based on the observation error feedback

机译:基于观测误差反馈的连续分数阶灰色模型与电预测研究

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As superiority to conventional statistical models, the grey model based on the fractional calculus becomes a hot topic and show great potentials with excellent performance. In this paper, the generalized fractional-order forms for grey models are given, which could have more freedom and better modeling by the fractional derivatives. The case of per capita output of electricity prediction is discussed by the modified optimized fractional grey model using the error feedback. The performance is evaluated and greatly improved in modeling and prediction compared with some traditional grey methods. Due to the fractional derivatives, the novel model could provide the fitting, prediction with more freedom and enrich the content, scope and application of grey theory. (C) 2016 Elsevier Ltd. All rights reserved.
机译:作为优于常规统计模型的优势,基于分数演算的灰色模型成为一个热门话题,并且具有出色的性能潜力。本文给出了灰色模型的广义分数阶形式,可以通过分数导数获得更大的自由度和更好的建模效果。通过使用误差反馈的改进的优化分数灰色模型,讨论了人均发电量预测的情况。与某些传统的灰色方法相比,该方法的性能得到了评估,并且在建模和预测中得到了极大的改进。由于存在分数导数,因此该模型可以提供更多的拟合,预测的自由度,并丰富了灰色理论的内容,范围和应用。 (C)2016 Elsevier Ltd.保留所有权利。

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