Multivariate data decomposition based deep learning approach to forecast one-day ahead significant wave height for ocean energy generation-Reference-Cited by-同舟云学术

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Multivariate data decomposition based deep learning approach to forecast one-day ahead significant wave height for ocean energy generation

Published:2023-10 Issue: Volume:185 Page:113645
ISSN:1364-0321
Container-title:Renewable and Sustainable Energy Reviews
language:en
Short-container-title:Renewable and Sustainable Energy Reviews

Author:

Zheng Zihao,Ali Mumtaz^ORCID,Jamei Mehdi,Xiang Yong,Abdulla Shahab,Yaseen Zaher Mundher,Farooque Aitazaz A.

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference78 articles.

1. Spatial-temporal changes of coastal and marine disasters risks and impacts in Mainland China;Fang;Ocean Coast Manag,2017

2. Global oceanic wave energy resource dataset—with the Maritime Silk Road as a case study;Zheng;Renew Energy,2021

3. 21st century maritime silk road: wave energy resource evaluation;Zheng,2020

4. Maritime climate in the canary islands and its implications for the construction of coastal infrastructures;Rodríguez-Martín;Civ Eng J,2022

5. Maritime transport and the climate change challenge;Asariotis,2012

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A general method to determine the optimal whitecapping dissipation coefficient in the SWAN model;Frontiers in Marine Science;2023-11-30

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