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太阳能帆板输出功率短期预测研究

Study on Short-Term Prediction of Solar Array Output Power
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摘要 在卫星观测中,经常由于各种原因导致短时间内无法提取目标卫星数据,使控制系统无法继续对其保持高精度跟踪和控制。文章主要研究ARIMA模型在卫星遥测数据短期预测中的应用。使用Matlab软件进行ARIMA模型参数计算,再使用SPSS软件执行数据预测,并进行残差分析,通过实例验证,短时期内的预测数据精度较高。 In satellite observations,often because of various reasons lead to a short period of time to extract the target satellite data,so that the control system can continue to maintain its high accuracy tracking and control.The article mainly studies the ARIMA model in short term prediction of satellite remote sensing data application.The use of Matlab software for ARIMA model parameters,and then use the SPSS software to perform data prediction,and residual analysis,through the example,in the short period forecast accuracy.
作者 徐静 张硕
出处 《计算机与数字工程》 2012年第8期133-135,共3页 Computer & Digital Engineering
关键词 短期预测 ARIMA模型 太阳能 SPSS short term prediction ARIMA model solar energy SPSS
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参考文献11

  • 1Soltani Skander. on the use of the wavelet decmpositoin for time seriespredietion[J].Neurocomotuing,2002(9) :267-277.
  • 2Sun zhenming, Jiang xingwei, Wang xiaofeng. Application of a'trous Wavelet to Satellite Telemetry Data Reeursive Predic- tion [J]. Journal of Nanjing Universi-ty of Science and Techonl- ogy,2004,28 (6) :606-611.
  • 3Ma Ning, Chen Yunping. An ANN and Wavelet Transforma- tion based method for short trem load forecast [J]//IEEE, 2002(2) :405-410.
  • 4Cao L, Hong Yetal. Predicting chaotic time series with wavelet network [J]. Physica, 1995 (2) : 267-270.
  • 5Zheng hua, zhang lizi. The factor Analysis of short-trem load forecast based on wavelet transform [J].//IEEE, 2002: 165-169.
  • 6孟祥斌.基于小波分析的短期负荷预测模型研究与实现[J].大连理工大学计算机应用技术,2008.
  • 7郑瑞波,万定生.塔式太阳能电厂SIS系统研究与应用[J].舰船电子工程,2010,30(2):129-131. 被引量:3
  • 8Shensa M J. The discrete wavelet transform: Wedding the a. trous and Mallat algorithms [J].//IEEE Transction on Signal Processing, 1992, 40(10):2464-2482.
  • 9Yao S. J,Y. H. ,Zhang L. Z. etc. Wavelet transform and neural networks for short-trem electrical load forecasting[J].Energy Conversion and Management,2000(28) :1975-1988.
  • 10Zhang 13 L,Coggins R. Multiresolution forecasting for futures trading using wavelet deempositions [J].//IEEE Trans actions on Neural Netoworks, 2001, 12 (4) : 765-774.

二级参考文献19

  • 1闵旭,陈学广.火力发电厂厂级监控系统(SIS)设计与实现[J].计算机与数字工程,2007,35(3):128-131. 被引量:4
  • 2Verron J, L Gourdeau, D T Pham, R Murtugudde, and A J Busalacchi. 1999: An extended Kalman filter to assimilate satellite altimeter data into a nonlinear numerical model of the tropical Pacific Ocean: Method and validation. Journal of Geophysical Research, 104(C3), 5441-5458.
  • 3West M, and J Harrison. 1997: Bayesian Forecasting and Dynamic Models. 2nd ed. Springer, 680pp.
  • 4Ghil M, and P Malanotte-Rizzoli. 1991: Data assimilation in meteorology and oceanography. Advanced Geophysics, 33, 141-266.
  • 5Glahn H R., and D A Lowry. 1972: The use of model output statistics (MOS) in objective weather forecasting. Journal of Applied Meteorology, 11, 1203-1211.
  • 6Homleid, M. 1995: Diurnal correction of short-term surface temperature forecasts using the Kalman filter. Weather and Forecast, 10, 689-707.
  • 7Kalman R E. 1960: A new approach to linear filtering and prediction problems. Transaction of the ASME Journal of Basic Enqineerinq, 35-45.
  • 8Kilpinen J. 1992: The application of Kalman filter in statistical interpretation of numerical weather forecasts. Proceedings of the 12th Conference on Probability and Statistics in Atmospheric Sciences, American Meteorological Society, 11-16.
  • 9Kok K, and S Kruizinga. 1992: Updating probabilistic MOS equations. Proceedings of the 12th Conference on Probability and Statistics in Atmospheric Sciences, American Meteorological Society, 62-65.
  • 10Lemcke C, and S Kruizinga. 1988:Model output statistics (three years of operational experience in the Netherlands). Monthly Weather Review, 116, 1077 - 1090.

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