المؤلفون: Alqushaibi, Alawi, Abdulkadir, Said Jadid, Rais, Helmi Md, Al-Tashi, Qasem, Ragab, Mohamed G.

المصدر: 2020 International Conference on Computational Intelligence (ICCI) Computational Intelligence (ICCI),2020 International Conference on. :190-195 Oct, 2020

Relation: 2020 International Conference on Computational Intelligence (ICCI)

المؤلفون: Mohammad Barooni, Shiva Ghaderpour Taleghani, Masoumeh Bahrami, Parviz Sedigh, Deniz Velioglu Sogut

المصدر: Atmosphere, Vol 15, Iss 6, p 640 (2024)

مصطلحات موضوعية: offshore wind turbine, deep learning, SARIMAX, metocean data forecast, Meteorology. Climatology, QC851-999

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2073-4433/15/6/640; https://doaj.org/toc/2073-4433

URL الوصول: https://doaj.org/article/4f5b9291f75f43e8912adc9975353ade

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المؤلفون: Sung Boo Park, Seong Yun Shin, Da Gyun Shin, Kwang Hyo Jung, Yong Ho Choi, Jaeyong Lee, Seung Jae Lee

المصدر: 한국해양공학회지, Vol 34, Iss 1, Pp 26-36 (2020)

مصطلحات موضوعية: xtreme value analysis, metocean data, significant wave height, spectral peak wave period, i-form, gumbel distribution, weibull distribution, Ocean engineering, TC1501-1800

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1225-0767; https://doaj.org/toc/2287-6715

URL الوصول: https://doaj.org/article/c6f54437a4c348ebaa707813f057977a

المؤلفون: O'Connell, Daniel P

المساهمون: Fugro Marine GeoServices, Inc., Old Dominion University, NGI, Inc., Bureau of Ocean Energy Management

المصدر: Offshore Technology Conference.

الإتاحة: https://www.onepetro.org/conference-paper/OTC-27863-MS

المؤلفون: Manuel, Lance^Aff1, Nguyen, Phong T. T., Canning, Jarred, Coe, Ryan G., Eckert-Gallup, Aubrey C., Martin, Nevin

المصدر: Journal of Ocean Engineering and Marine Energy. 4(4):293-310

المؤلفون: Azouz, Amr M

المساهمون: ZADCO, ADMA-OPCO

المصدر: Abu Dhabi International Petroleum Exhibition & Conference.

الإتاحة: https://www.onepetro.org/conference-paper/SPE-183520-MS

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المؤلفون: Angelos Ikonomakis, Klaus Kähler Holst, Ulrik Dam Nielsen

المصدر: Ikonomakis, A, Holst, K K & Nielsen, U D 2023, ' Estimating speed-through-water by Dynamic Factor Models fusing metocean and propeller data ', Ocean Engineering, vol. 279, 114523 . https://doi.org/10.1016/j.oceaneng.2023.114523

مصطلحات موضوعية: Environmental Engineering, Real-data implementation, Sensor data, Metocean data, Ocean Engineering, Kalman filter, Simulation, Dynamic factor model

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a402e4c701b17b5b6e9a6493954ed27
https://orbit.dtu.dk/en/publications/aaaf91e9-000f-425e-803a-6660a7c2b5f9

المؤلفون: Thilleul Olivia, Perignon Yves

المساهمون: Bertholon Antoine, Blangy Arnaud, Reynaud Marine, Sigoigne Laurent

مصطلحات موضوعية: Donn��es m��t��o-oc��ano, Données météo-océano, SEM-REV, offsshore wind data France, Test sites metocean data, Floating offshore wind, wave data France, données de houle France, Marine Renewable Energies, EMR données, wave energy metocean data, données de vent en mer France, Energies marine renouvelables, SEMREV, ��olien flottant, Offshore wind, SEM-REV metocean design basis, Marine Renewable Energy, SEM-REV metocean data, EMR donn��es, donn��es m��t��o-oc��ano SEM-REV, Offshore Renewable Energy, SEMREV metocean data, éolien flottant, donn��es de houle France, Metocean data, données météo-océano SEM-REV, houlomoteur, ORE, donn��es de vent en mer France

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19cb98e48242c36903646fe85722489f