E3S Web Conf.
Volume 292, 20212021 2nd International Conference on New Energy Technology and Industrial Development (NETID 2021)
|Number of page(s)||5|
|Section||New Energy Economy and Energy Blockchain Application|
|Published online||09 September 2021|
Grey GM (1,1) model based on combinatorial buffer operator
1 Department of Management Engineering and Equipment Economy, Naval University of Engineering, Wuhan, Hubei, China
2 91306 PLA, Shanghai, China
Considering that some emerging industries have not developed for a long time, the amount of data available for forecasting future economic problems is relatively limited, complex and changeable. Based on the principle of combinatorial prediction, a combinatorial buffer operator based on different order buffer operators is proposed, and the correlation area between the generated sequence and the original sequence after the buffer operator is used as weighting criterion. The grey GM (1,1) prediction model based on the combined buffer operator was established, which effectively overcame the influence of abnormal data and restored the change rule of data series. The average prediction error of the data in literature  by using the combined buffer operator established in this paper was 0.98%. Compared with 6.89%, 11i.59% and 1.30% of the original method, the predction accuracy is significantly improved.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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