Abstract
According to existing Grey prediction model GM (1,1) in the data fluctuation, mutation, turning under uncertainty such as the problem of poor prediction accuracy, this paper presents an original data sequence by third parties for the opening sequence of operations to generate new data used to establish an improved GM(1,1) model, reduces the growth rate of the original data, reducing the development factor. An example shows that this model has good applicability and accuracy of pre-sexual.
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Jia, Z., Fan, Z., Li, C., Jiang, M. (2012). The Application of Improved Grey GM(1,1) Model in Power System Load Forecast. In: Zhang, Y. (eds) Future Wireless Networks and Information Systems. Lecture Notes in Electrical Engineering, vol 144. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27326-1_77
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DOI: https://doi.org/10.1007/978-3-642-27326-1_77
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27325-4
Online ISBN: 978-3-642-27326-1
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