基于时间序列模型的中长期预测方法研究任务书

 2021-10-25 09:10

1. 毕业设计(论文)的内容和要求

时间序列可以刻画自然界的多种变化以及经济和社会的发展规律。

基于时间序列的模型可以用于对未知及未来的预测。

不过通常的预测是短时的。

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2. 参考文献

1.N. E. Huang, An adaptive data analysis method for nonlinear and nonstationary time series: the empirical mode decomposition and Hilbert spectral analysis, 2006, Wavelet Analysis and Applications, pp. 363-376 2. 李卿, EMD时频分析方法的研究与应用,华中师范大学,硕士学位论文,20083. Y. Xu, V. Ramanathan, D. G. Victor, Global warming will happen faster than we think, Nature, Vol. 564, 30:32, 2018, Dec.4. D. Spratt, I. Dunlop, Existential climate-related security risk: A scenario approach, 2019 May, Policy Paper from Breakthrough-National Centre for Climate Restoration5. C. Quere, R. Andrew, et al, Global carbon budget 2017, Earth Syst. Sci. Data,2018, 405-4486. I. Medhaug, M. B. Stolpe, E. M. Fischer global warming hiatus, 2017, Nature7. G. A. Meehl, A. Hu, B. D. Santer S. Xie, Contribution of the interdecadal Pacific Oscillation to twentieth-century global surface temperature tends, Nature Climate Change, 6, 1005-1008 (2016)8. X. Chen K. K. Tung, Global surface warming enhanced by weak Atlantic overturning circulation, 2018, Nature 9. T. M. Smith, R. W. Reynolds, A high-resolution global sea surface temperature climatology for the 1961-90 base period, J. Climate, 1998, 3320-3323

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