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Title:
ARTIFICIAL INTELLIGENCE-BASED METHOD AND SYSTEM FOR AUTOMATIC DETERMINATION OF DESIGN WIND SPEED
Document Type and Number:
WIPO Patent Application WO/2020/159034
Kind Code:
A1
Abstract:
The present invention relates to an artificial intelligence-based method and system for automatic determination of design wind speed, which can quickly and accurately determine the design wind speed at a design target place through relationship learning between the target place and neighboring weather stations by using artificial intelligence, thereby economically designing a structure to be built at the target place.

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Inventors:
KANG THOMAS HYUN KOO (KR)
JEONG SEUNG YONG (KR)
LEE DONG HYEOK (KR)
Application Number:
PCT/KR2019/013114
Publication Date:
August 06, 2020
Filing Date:
October 07, 2019
Export Citation:
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Assignee:
SEOUL NAT UNIV R&DB FOUNDATION (KR)
International Classes:
G06F30/00; G01P5/00; G06N3/08
Foreign References:
KR101396395B12014-05-19
KR101396393B12014-05-19
JP2003185762A2003-07-03
Other References:
ZHU QIAOMU, CHEN JINFU, ZHU LIN, DUAN XIANZHONG, LIU YILU: "Wind Speed Prediction with Spatio-Temporal Correlation: A Deep Learning Approach", ENERGIES, vol. 11, no. 4, 21 March 2018 (2018-03-21), pages 1 - 18, XP055726053
JUNMO KOO ET AL.: "Wind-speed prediction and analysis based on geological and distance variables using an artificial neural network: A case study in South Korea", ENERGY, vol. 93, 6 November 2015 (2015-11-06), pages 1296 - 1302, XP029342092, DOI: 10.1016/j.energy.2015.10.026
Attorney, Agent or Firm:
KIM, Locbae (KR)
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