전기학회논문지 (The Transactions of The Korean Institute of Electrical Engineers)

  • 제61권11호
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  • Pages.1682-1688
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  • 2012
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  • 1975-8359(pISSN)
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  • 2287-4364(eISSN)
대한전기학회 (The Korean Institute of Electrical Engineers)
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유전 프로그래밍 기반 단기 기온 예보의 보정 기법

Genetic Programming Based Compensation Technique for Short-range Temperature Prediction

  • 현병용 (서경대학교 전자공학과) ;
  • 현수환 (현대중공업 기전연구소) ;
  • 이용희 (국립기상연구소 기상연구관) ;
  • 서기성 (서경대학교 전자공학과)
  • 투고 : 2012.08.09
  • 심사 : 2012.10.20
  • 발행 : 2012.11.01
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초록

This paper introduces a GP(Genetic Programming) based robust technique for temperature compensation in short-range prediction. Development of an efficient MOS(Model Output Statistics) is necessary to correct systematic errors of the model, because forecast models do not reliably determine weather conditions. Most of MOS use a linear regression to compensate a prediction model, therefore it is hard to manage an irregular nature of prediction. In order to solve the problem, a nonlinear and symbolic regression method using GP is suggested. The purpose of this study is to evaluate the accuracy of the estimation by a GP based nonlinear MOS for 3 days temperatures in Korean regions. This method is then compared to the UM model and has shown superior results. The training period of 2007-2009 summer is used, and the data of 2010 summer is adopted for verification.

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참고문헌

  1. Korean Meteorological Society, Introduction to Atmospheric Science, Sigma Press, 2009.
  2. United Kingdom Met Office's website : http://www.metoffice.gov.uk
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  7. X. Yu, SK. Park, YH. Lee, KD. Ahn, SH. Choo, "The gridding of MOS for high resolution forecasting,", The fifth Korea-Japan-China Joint Conference on Meteorology, pp. 18-21, 2011.10.
  8. B. Hyeon, S. Hyun, K. Seo, Y. Lee, "Compensation Technique in Short-range Temperature Prediction using Genetic Programming," 2012 Proceedings of Information and Control Symposium, pp. 157-158, 2012. 4.
  9. Koza, J. R., Genetic Programming: On the Programming of Computers by Means of Natural Selection, The MIT Press, 1992.
  10. W. B. Langdon, R. Poli Foundations of Genetic Programming, Springer, 2002.

피인용 문헌

  1. Evolutionary Nonlinear Regression Based Compensation Technique for Short-range Prediction of Wind Speed using Automatic Weather Station vol.64, pp.1, 2015, https://doi.org/10.5370/KIEE.2015.64.1.107