Improving long-term wave forecasting through seasonal adjustment based on STL and CNN-GRU network
Most numerical models used to forecast wave parameters are time-consuming and computationally expensive. Currently, advanced machine learning techniques, such as artificial neural networks (ANN), provide a better alternative as they are substantially faster, more cost-efficient and more effective in...
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| Main Authors: | , , |
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| Format: | Article |
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Universiti Malaysia Terengganu
2023
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| Online Access: | http://psasir.upm.edu.my/id/eprint/108732/ https://jssm.umt.edu.my/archive/volume-18-number-3-march-2023/ |
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