Improving long-term wave forecasting through seasonal adjustment based on STL and CNN-GRU network

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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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Bibliographic Details
Main Authors:	Abdul Rehman Khan, ., Ab Razak, Mohd Shahrizal, Mohamad, Noorasiah
Format:	Article
Published:	Universiti Malaysia Terengganu 2023
Online Access:	http://psasir.upm.edu.my/id/eprint/108732/

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