Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms-Reference-Cited by-同舟云学术

Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms

Published:2020-10 Issue: Volume:132 Page:110003
ISSN:1364-0321
Container-title:Renewable and Sustainable Energy Reviews
language:en
Short-container-title:Renewable and Sustainable Energy Reviews

Author:

Ali Mumtaz,Prasad Ramendra,Xiang Yong,Deo Ravinesh C.

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference87 articles.

1. Strategic plan, 2018-2021. Special session (executive board of the united nations development programme, the united nations population fund and the united nations office for project services);UNDP,2017

2. Component reliability testing for wave energy converters: rationale and implementation;Thies,2013

3. Australias intended nationally determined contribution to a new climate change agreement;Weiss,2016

4. IRENA ocean energy technology brief 4;Kempener,2014

5. Ocean renewable energy: 2015-2050. An analysis of ocean energy in Australia. Energy Transformed and Wealth from Oceans Flagships,2012

Cited by 74 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. Hybrid intelligent models for predicting weekly mean significant wave heights;Ocean Engineering;2024-10

2. Time-variations of wave energy and forecasting power availability at a site in Fiji using time-series, regression and ANN techniques;Journal of the Royal Society of New Zealand;2024-09-02

3. Near real-time significant wave height prediction along the coastline of Queensland using advanced hybrid machine learning models;International Journal of Environmental Science and Technology;2024-08-31

4. Predicting significant wave height in the South China Sea using the SAC-ConvLSTM model;Frontiers in Marine Science;2024-08-06

5. Enhanced Estimation of Traffic Noise Levels Using Minute-Level Traffic Flow Data through Convolutional Neural Network;Sustainability;2024-07-17