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数据驱动型时间序列预测方法综述(英文) 被引量:3

OVERVIEW OF DATA-DRIVEN TIME SERIES FORECASTING METHODS
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摘要 阐述了时间序列、时间序列预测及其方法,研究了时间序列预测定量分析的主要内容——数据驱动型时间序列预测方法,分析了其预测原理、特点、关键技术和研究热点,在此基础上讨论了数据驱动型时间序列预测方法的适用性及发展趋势. Time series, time series forecasting and its methods is expounded; the main content of quantitative analysis of time series forecasting——data-driven time series forecasting methods is explored to most extent. Meanwhile, forecasting principles, characteristics, key techniques and research hotspots are analyzed, based this, suitability, development trend are summarized for the data-driven time series forecasting methods.
作者 张伟 张锋
出处 《陕西科技大学学报(自然科学版)》 2010年第3期22-27,共6页 Journal of Shaanxi University of Science & Technology
基金 国家自然科学基金重点课题(No.60736026) 教育部新世纪优秀人才资助计划项目
关键词 数据驱动时间序列预测方法 预测原理 预测特点 预测适用性 data-driven time series forecasting methods forecasting principles forecasting characteristics forecasting suitability
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  • 1周寿军,陈武凡,王涌天.医学图像轮廓跟踪的广义模糊粒子滤波方法[J].计算机学报,2005,28(1):88-96. 被引量:6
  • 2刘勇 康力山.非数值并行算法(第二册)——遗传算法[M].北京:科学出版社,1997..
  • 3徐勇 荆涛译.神经网络模式识别及其实现[M].北京:电子工业出版社,1999..
  • 4[1]Infield D G, Hill D C. Optimal smoothing for trend removal in short-term electricity demand forecasting[J]. IEEE Trans Power Systems, 1998, 13(3): 1115-1120.
  • 5[2]Mbamalu G A N, El-Hawary M E. Load forecasting via suboptimal seasonal autoregressive models and iteratively reweighed least squares estimation[J]. IEEE Trans Power System, 1993, 8(1): 343-348.
  • 6[3]Mori H, Kobayashi H. Optimal fuzzy inference for short-term load forecasting[J]. IEEE Transactions on Power Systems, 1996, 11(1): 390-396.
  • 7[6]Nahi Kandil, Vijay Sood, Maarouf Saad. Use of ANNs for Short-term Load Forecasting[A]. Canadian Conference on Electrical and Computer Engineering Edmonton[C]. Alberta(Can), 1999. 1057-1061.
  • 8[7]Papadkis S E, Thoecharis J B, Kiartzis S J, et al. A novel approach to short-term load forecasting using fuzzy neural networks[J]. IEEE Transactions on Power Systems, 1998, 13(2): 480-489.
  • 9[9]Vermaak J, Botha E C. Recurrent neural networks for short-term load forecasting[J]. IEEE Trans Power Systems, 1998, 13(1): 126-132.
  • 10[10]Pawlak Z. Rough set[J]. International Journal of Computer Information Sciences, 1982, 11(5): 342-356.

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