Significant wave height prediction based on dynamic graph neural network with fusion of ocean characteristics
出版年份 2023 全文链接
标题
Significant wave height prediction based on dynamic graph neural network with fusion of ocean characteristics
作者
关键词
-
出版物
DYNAMICS OF ATMOSPHERES AND OCEANS
Volume 103, Issue -, Pages 101388
出版商
Elsevier BV
发表日期
2023-08-11
DOI
10.1016/j.dynatmoce.2023.101388
参考文献
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- (2022) Chong-wei Zheng et al. RENEWABLE ENERGY
- Investigation on a spring-integrated mechanical power take-off system for wave energy conversion purpose
- (2022) Jinming Wu et al. ENERGY
- ATDNNS: An adaptive time–frequency decomposition neural network-based system for tropical cyclone wave height real-time forecasting
- (2022) Fan Meng et al. Future Generation Computer Systems-The International Journal of eScience
- A significant wave height forecast framework with end-to-end dynamic modeling and lag features length optimization
- (2022) Hengyi Yang et al. OCEAN ENGINEERING
- Case Study of a Short-Term Wave Energy Forecasting Scheme: North Indian Ocean
- (2021) Chongwei Zheng et al. Journal of Ocean University of China
- Forecasting tropical cyclones wave height using bidirectional gated recurrent unit
- (2021) Fan Meng et al. OCEAN ENGINEERING
- Development of a 2-D deep learning regional wave field forecast model based on convolutional neural network and the application in South China Sea
- (2021) Gen Bai et al. APPLIED OCEAN RESEARCH
- Financial time series forecasting with multi-modality graph neural network
- (2021) Dawei Cheng et al. PATTERN RECOGNITION
- CLTS-Net: A More Accurate and Universal Method for the Long-Term Prediction of Significant Wave Height
- (2021) Shuang Li et al. Journal of Marine Science and Engineering
- A novel model to predict significant wave height based on long short-term memory network
- (2020) Shuntao Fan et al. OCEAN ENGINEERING
- Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms
- (2020) Mumtaz Ali et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Significant wave height prediction with CRBM-DBN model
- (2019) Xining Zhang et al. JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY
- Temporal pattern attention for multivariate time series forecasting
- (2019) Shun-Yao Shih et al. MACHINE LEARNING
- Ocean wave characteristics prediction and its load estimation on marine structures: A transfer learning approach
- (2018) N. Krishna Kumar et al. MARINE STRUCTURES
- Regional ocean wave height prediction using sequential learning neural networks
- (2017) N. Krishna kumar et al. OCEAN ENGINEERING
- Prediction of extreme wave heights using neuro wavelet technique
- (2016) Pradnya Dixit et al. APPLIED OCEAN RESEARCH
- A hybrid EMD-SVR model for the short-term prediction of significant wave height
- (2016) W.Y. Duan et al. OCEAN ENGINEERING
- Selection of climatic parameters affecting wave height prediction using an enhanced Takagi-Sugeno-based fuzzy methodology
- (2016) Roslan Hashim et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Improving Forecasting Accuracy of Annual Runoff Time Series Using ARIMA Based on EEMD Decomposition
- (2015) Wen-chuan Wang et al. WATER RESOURCES MANAGEMENT
- Review on electrical control strategies for wave energy converting systems
- (2013) Yue Hong et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Assessment of wave energy resource of the Black Sea based on 15-year numerical hindcast data
- (2012) Adem Akpınar et al. APPLIED ENERGY
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