Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms
Version 2 2024-06-03, 11:50
Version 1 2020-07-25, 20:06
journal contribution
posted on 2024-06-03, 11:50 authored by M Ali, R Prasad, Yong XiangYong Xiang, RC DeoNear real-time significant wave height forecasting with hybridized multiple linear regression algorithms
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Journal
Renewable and Sustainable Energy ReviewsVolume
132Article number
ARTN 110003Pagination
1 - 14Location
Amsterdam, The NetherlandsISSN
1364-0321eISSN
1879-0690Language
EnglishPublication classification
C1 Refereed article in a scholarly journalPublisher
PERGAMON-ELSEVIER SCIENCE LTDUsage metrics
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No categories selectedKeywords
Science & TechnologyTechnologyGreen & Sustainable Science & TechnologyEnergy & FuelsScience & Technology - Other TopicsWave energySignificant wave heightMLRCWLSMARSM5 treeSUPPORT VECTOR MACHINEGLOBAL SOLAR-RADIATIONNEURAL-NETWORKSPARTICLE SWARMPAN EVAPORATIONMODELENERGYPREDICTIONSERIESINTELLIGENCE4015 Maritime engineering
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