Hybrid intelligent models for predicting weekly mean significant wave heights-Reference-Cited by-同舟云学术

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Hybrid intelligent models for predicting weekly mean significant wave heights

Published:2024-10 Issue: Volume:310 Page:118706
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Han Dayong,Xue Xinhua

Publisher

Elsevier BV

Reference65 articles.

1. Short-term probabilistic prediction of significant wave height using bayesian model averaging: case study of chabahar port, Iran;Adnan;Ocean Eng.,2023

2. Modelling of deep learning-based downscaling for wave forecasting in coastal area;Adytia;Water,2023

3. Significant wave height forecasting via an extreme learning machine model integrated with improved complete ensemble empirical mode decomposition;Ali;Renew. Sustain. Energy Rev.,2019

4. Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms;Ali;Renew. Sustain. Energy Rev.,2020

5. Ensemble robust local mean decomposition integrated with random forest for short-term significant wave height forecasting;Ali;Renew. Energy,2023

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