$\require{mediawiki-texvc}$

연합인증

연합인증 가입 기관의 연구자들은 소속기관의 인증정보(ID와 암호)를 이용해 다른 대학, 연구기관, 서비스 공급자의 다양한 온라인 자원과 연구 데이터를 이용할 수 있습니다.

이는 여행자가 자국에서 발행 받은 여권으로 세계 각국을 자유롭게 여행할 수 있는 것과 같습니다.

연합인증으로 이용이 가능한 서비스는 NTIS, DataON, Edison, Kafe, Webinar 등이 있습니다.

한번의 인증절차만으로 연합인증 가입 서비스에 추가 로그인 없이 이용이 가능합니다.

다만, 연합인증을 위해서는 최초 1회만 인증 절차가 필요합니다. (회원이 아닐 경우 회원 가입이 필요합니다.)

연합인증 절차는 다음과 같습니다.

최초이용시에는
ScienceON에 로그인 → 연합인증 서비스 접속 → 로그인 (본인 확인 또는 회원가입) → 서비스 이용

그 이후에는
ScienceON 로그인 → 연합인증 서비스 접속 → 서비스 이용

연합인증을 활용하시면 KISTI가 제공하는 다양한 서비스를 편리하게 이용하실 수 있습니다.

[국내논문] 기계학습을 활용한 공항 활주로 지상 바람의 예측
Prediction of Near-Surface Winds on Airport Runways Using Machine Learning 원문보기

한국항공운항학회지 = Journal of the Korean Society for Aviation and Aeronautics, v.32 no.3, 2024년, pp.15 - 28  

이승민 (국가농림기상센터 연구개발부) ,  이승재 (국가농림기상센터 연구개발부) ,  강하림 (공군기상단) ,  함숙정 (공군기상단) ,  송재익 (공군기상단) ,  김기남 (공군기상단)

Abstract AI-Helper 아이콘AI-Helper

Wind forecast is one of the key meteorological factors required for safe aircraft takeoff and landing. In this study, we developed an artificial intelligence-based wind compensation method by learning the Korea Air Force Weather Research and Forecast (KAF-WRF) forecast data and the Airfield Meteorol...

Keyword

참고문헌 (41)

  1. Chaloulos, G., and Lygeros, J., "Effect of?wind correlation on aircraft conflict probability", Journal of Guidance, Control, and?Dynamics, 30(6), 2007, pp.1742-1752. 

  2. Kim, S., "The impact of extreme weather?events on flight delays & cancellations with?a focus on Gimpo-Jeju air route", M.S.?Thesis, Seoul National University, Seoul,?2021. 

  3. El-Fouly, T. H. M., El-Saadany, E. F., and?Salama, M. M. A., "One day ahead prediction?of wind speed using annual trends", IEEE?Power Engineering Society General Meeting,?2006, pp.1-7. 

  4. Lei, M., Shiyan, L., Chuanwen, J., Hongling,?L., and Yan, Z., "A review on the forecasting?of wind speed and generated power",?Renewable and Sustainable Energy Reviews,?13(4), 2009, pp.915-920. 

  5. Santhosh, M., Venkaiah, C., and Vinod Kumar, D. M., "Current advances and approaches in wind speed and wind power?forecasting for improved renewable energy?integration: A review", Engineering Reports,?2(6), 2020, e12178. 

  6. Wu, Z., Luo, G., Yang, Z., Guo, Y., Li, K.,?and Xue, Y., "A comprehensive review on?deep learning approaches in wind forecasting?applications", CAAI Transactions on Intelligence Technology, 7(2), 2022, pp.129-143. 

  7. Kalnay, E., "Atmospheric modeling, data assimilation and predictability", Cambridge?University Press, 2003, pp.18-19. 

  8. Shukur, O. B., and Lee, M. H., "Daily wind?speed forecasting through hybrid KF-ANN?model based on ARIMA", Renewable Energy,?76, 2015, pp.637-647. 

  9. Lydia, M., Kumar, S. S., Selvakumar, A. I.,?and Kumar, G. E. P., "Linear and non-linear?autoregressive models for short-term wind?speed forecasting", Energy Conversion and?Management, 112, 2016, pp.115-124. 

  10. Jeong, J., and Lee, S. J., "A statistical parameter correction technique for WRF mediumrange prediction of near-surface temperature and wind speed using generalized linear?model", Atmosphere, 9(8), 2018, pp.291. 

  11. Singh, S. N., and Mohapatra, A., "Repeated?wavelet transform based ARIMA model for?very short-term wind speed forecasting",?Renewable Energy, 136, 2019, pp.758-768. 

  12. Fattaheian-Dehkordi, S., Fereidunian, A.,?Gholami-Dehkordi, H., and Lesani, H.,?"Hour ahead demand forecasting in smart?grid using support vector regression (SVR)",?International Transactions on Electrical?Energy Systems, 24(12), 2014, pp.1650-1663. 

  13. Ali, M., Khan, A., and Rehman, N. U.,?"Hybrid multiscale wind speed forecasting?based on variational mode decomposition",?International Transactions on Electrical?Energy Systems, 28(1), 2018, e2466. 

  14. Kwon, S. Y., Lee, S. J., and Kim, M. I., "A?Statistical correction of point time series?data of the NCAM-LAMP medium-range?prediction system using support vector machine", Korean Journal of Agricultural and?Forest Meteorology, 23(4), 2021, pp.415-423. 

  15. Shin, J. Y., Min, B., and Kim, K. R.,?"High-resolution wind speed forecast system coupling numerical weather prediction?and machine learning for agricultural studies a case study from South Korea",?International Journal of Biometeorology,?66(7), 2022, pp.1429-1443. 

  16. Hu, Q., Zhang, R., and Zhou, Y., "Transfer?learning for short-term wind speed prediction with deep neural networks", Renewable Energy, 85, 2016, pp.83-95. 

  17. Araya, I. A., Valle, C., and Allende, H.,?"Lstm-based multi-scale model for wind?speed forecasting", In Progress in Pattern?Recognition, Image Analysis, Computer?Vision, and Applications: 23rd Iberoamerican Congress, CIARP 2018, Madrid, Spain,?2019, Proceedings 23, pp.38-45. 

  18. Yin, H., Ou, Z., Huang, S., and Meng, A., "A?cascaded deep learning wind power prediction approach based on a two-layer of?mode decomposition", Energy, 189, 2019,?pp.116316. 

  19. Xu, W., Liu, P., Cheng, L., Zhou, Y., Xia,?Q., Gong, Y., and Liu, Y., "Multi-step wind?speed prediction by combining a WRF simulation and an error correction strategy",?Renewable Energy, 163, 2021, pp.772-782. 

  20. Jung, J., and Broadwater, R. P., "Current?status and future advances for wind speed?and power forecasting", Renewable and?Sustainable Energy Reviews, 31, 2014,?pp.762-777. 

  21. Bao, L., Gneiting, T., Grimit, E. P., Guttorp,?P., and Raftery, A. E., "Bias correction and?Bayesian model averaging for ensemble forecasts of surface wind direction", Monthly?Weather Review, 138(5), 2010, pp.1811-1821. 

  22. Lee, S. J., and Kim, Y. C., "A numerical?forecast and verification of the aircraft turbulence observed over South Korea",?Journal of Korean Meteorological Society,?38(5), 2002, pp.493-507. 

  23. Min, B., Kim, Y. H., Choi, H. W., Jeong, H.?S., Kim, K. R., and Kim, S., "Low-level wind?shear (LLWS) forecasts at Jeju International?Airport using the KMAPP", Atmosphere,?30(3), 2020, pp.277-291. 

  24. Kim, G. H., Choi, H. W., Seok, J. H., and?Kim, Y. H., "Prediction of low level wind?shear using high resolution numerical?weather prediction model at the Jeju?International Airport, Korea", Journal of the?Korean Society for Aviation and Aeronautics, 29(4), 2021, pp.88-95. 

  25. Kim, G. H., Choi, H. W., Seok, J. H., Lee, S.?S., and Lee Y. H., "Low level wind shear?characteristics and predictability at the Jeju?International Airport", Journal of the Korean Society for Aviation and Aeronautics,?31, 2023, pp.55-58. 

  26. Seok, J. H., Choi, H. W., Kim, Y. H. and?Lee, S. S., "Diagnosis of low-level aviation?turbulence using the Korea meteorological?administration post processing (KMAPP)",?Journal of the Korean Society for Aviation?and Aeronautics, 28(4), 2020, pp.1-11. 

  27. Yun, J., Kim, Y. H., and Choi, H. W.,?"Analyses of the meteorological characteristics over South Korea for wind power applications using KMAPP", Atmosphere, 31(1),?2021, pp.1-15. 

  28. Keum, W. H., Lee, S. H., Lee, D. I., Lee, S.?S., and Kim, Y. H., "Evaluation and improvement of the KMAPP surface wind speed?prediction over complex terrain areas",?Atmosphere, 31(1), 2021, pp.85-100. 

  29. Seok, J. H., Choi, H. W., Kim, G. H., Lee, S.?S., and Lee, Y. H., "Verification of low-level?wind shear prediction system using aircraft?meteorological data relay (AMDAR)", Journal of the Korean Society for Aviation and?Aeronautics, 31(3), 2023, pp.59-70. 

  30. Wang, J., Song, Y., Liu, F., and Hou, R.,?"Analysis and application of forecasting?models in wind power integration: A review?of multi-step-ahead wind speed forecasting?models", Renewable and Sustainable Energy?Reviews, 60, 2016, pp.960-981. 

  31. Hyundai E&C, "Secrets of airports shared?by Hyundai E&C's Airport Experts", Hyundai E&C Newsroom, 2024, Available from:?https://en.hdec.kr/en/newsroom/news_view.aspx?NewsSeq780&NewsTypeFUTURE&NewsListTypenews_clist 

  32. Hwang, H., Eun, S. H., Kim, B. G., Park, S.?J., and Park, G. M., "Occurrence characteristics of sea breeze in the gangneung region for 2009 2018", Atmosphere, 30(3),?2020, pp.221-236. 

  33. An, E. J., and Kim, H. D., "Characteristics of?mountain and valley winds observed at Palgongsan Mountain and their effects on reducing high temperatures in summer", Quantitative Bio-Science, 40(2), 2021, pp.77-82. 

  34. Byun, U. Y., Hong, S. Y., Shin, H., Lee, J. W.,?Song, J. I., Hahm, S. J. Kim, J. K., Kim, H.?W., and Kim, J. S., "WRF-based short-range?forecast system of the Korea Air Force: Verification of prediction skill in 2009 summer",?Atmosphere, 21(2), 2011, pp.197-208. 

  35. Byun, U. Y., Hong, J., Hong, S. Y., and?Shin, H. H., "Numerical simulations of?heavy rainfall over central Korea on 21?September 2010 using the WRF model", Advances in Atmospheric Sciences, 32, 2015,?pp.855-869. 

  36. Lee, S. J., Lee, J., Greybush, S. J., Kang, M.,?and Kim, J., "Spatial and temporal variation?in PBL height over the Korean peninsula in?the KMA operational regional model",?Advances in Meteorology, 2013, pp.1-16. 

  37. Cortes, C., and Vapnik, V., "Support-vector?networks", Machine Learning, 20, 1995,?pp.273-297. 

  38. Drucker, H., Burges, C. J., Kaufman, L.,?Smola, A., and Vapnik, V., "Support vector?regression machines", Advances in Neural?Information Processing Systems, 1996, pp.9. 

  39. Smola, A. J., and Scholkopf, B., "A tutorial?on support vector regression", Statistics and?Computing, 14, 2004, pp.199-222. 

  40. Rickard, G. J., Lunnon, R. W., and Tenenbaum, J., "The met office upper air winds:?Prediction and verification in the context?of commercial aviation data", Meteorological Applications, 8(3), 2001, pp.351-360. 

  41. Lee, S. J., Parrish, D. F., Park, S. Y., Wu, W.?S., Greybush, S. J., Lee, W. J., and Lord, S. J.,?"Effects of 2-m air temperature assimilation?and a new near-surface observation operator?on the NCEP Gridpoint Statistical-Interpolation system", Asia-Pacific Journal of Atmospheric Sciences, 47, 2011, pp.353-376. 

저자의 다른 논문 :

활용도 분석정보

상세보기
다운로드
내보내기

활용도 Top5 논문

해당 논문의 주제분야에서 활용도가 높은 상위 5개 콘텐츠를 보여줍니다.
더보기 버튼을 클릭하시면 더 많은 관련자료를 살펴볼 수 있습니다.

관련 콘텐츠

오픈액세스(OA) 유형

GOLD

오픈액세스 학술지에 출판된 논문

저작권 관리 안내
섹션별 컨텐츠 바로가기

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

AI-Helper 아이콘
AI-Helper
안녕하세요, AI-Helper입니다. 좌측 "선택된 텍스트"에서 텍스트를 선택하여 요약, 번역, 용어설명을 실행하세요.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.

선택된 텍스트

맨위로