Time Series Forecasting of Significant Wave Height using GRU, CNN-GRU, and LSTM

Time Series Forecasting of Significant Wave Height using GRU, CNN-GRU, and LSTM

Predicting wave height is essential to reduce significant risks for shipping or activities carried out at sea. Waves inherit a stochastic nature, mainly generated by wind and propagated through the ocean, making them challenging to forecast. In this paper, we design time series wave forecasting usin...

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Bibliographic Details
Main Authors:	Cornelius Stephanus Alfredo, Didit Adytia Adytia
Format:	Article
Language:	English
Published:	Ikatan Ahli Informatika Indonesia 2022-10-01
Series:	Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Subjects:	wave height, pelabuhan ratu, cnn-gru, long short-term memory, gated recurrent unit
Online Access:	http://jurnal.iaii.or.id/index.php/RESTI/article/view/4160

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