A hybrid VMD-LSTM/GRU model to predict non-stationary and irregular waves on the east coast of China
出版年份 2023 全文链接
标题
A hybrid VMD-LSTM/GRU model to predict non-stationary and irregular waves on the east coast of China
作者
关键词
-
出版物
OCEAN ENGINEERING
Volume 276, Issue -, Pages 114136
出版商
Elsevier BV
发表日期
2023-03-28
DOI
10.1016/j.oceaneng.2023.114136
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- A hybrid EMD-LSTM model for non-stationary wave prediction in offshore China
- (2022) Wei Hao et al. OCEAN ENGINEERING
- A two-stage intrusion detection system with auto-encoder and LSTMs
- (2022) Earum Mushtaq et al. APPLIED SOFT COMPUTING
- Multi-step forecasting of ocean wave height using gate recurrent unit networks with multivariate time series
- (2022) Xinfang Li et al. OCEAN ENGINEERING
- Forecasts for international financial series with VMD algorithms
- (2022) Wei Guo et al. Journal of Asian Economics
- An EMD-LSTM-SVR model for the short-term roll and sway predictions of semi-submersible
- (2022) Yutu Ye et al. OCEAN ENGINEERING
- Validation of a TLP wind turbine numerical model against model-scale tests under regular and irregular waves
- (2022) Mustafa Vardaroglu et al. OCEAN ENGINEERING
- Spatial-temporal wave height forecast using deep learning and public reanalysis dataset
- (2022) Ti Zilong et al. APPLIED ENERGY
- Systematization of short-term forecasts of regional wave heights using a machine learning technique and long-term wave hindcast
- (2022) Seongho Ahn et al. OCEAN ENGINEERING
- Wave height forecast method with multi-step training set extension LSTM neural network
- (2022) Ji Yao et al. OCEAN ENGINEERING
- Numerical simulation of ship maneuvring by a hybrid method with propulsive factors in waves taken into account
- (2022) Jiaye Gong et al. OCEAN ENGINEERING
- Modelling and CFD simulation of the trajectory of an oil spill in a large domain: Analysis of the 2003 Foss Barge — Point Wells event
- (2022) Ricardo Sbragio et al. OCEAN ENGINEERING
- Numerical investigation on hopf bifurcation problem for nonlinear dynamics of a towed vessel in calm water and waves
- (2022) Bo Woo Nam et al. OCEAN ENGINEERING
- A review of recent development for the CFD-DEM investigations of non-spherical particles
- (2022) Huaqing Ma et al. POWDER TECHNOLOGY
- Dynamic ensemble deep echo state network for significant wave height forecasting
- (2022) Ruobin Gao et al. APPLIED ENERGY
- Hybrid model based on VMD decomposition, clustering analysis, long short memory network, ensemble learning and error complementation for short-term wind speed forecasting assisted by Flink platform
- (2022) Zexian Sun et al. ENERGY
- Prediction of significant wave height in hurricane area of the Atlantic Ocean using the Bi-LSTM with attention model
- (2022) Qin-Rui Luo et al. OCEAN ENGINEERING
- Forecasting of Beijing PM2.5 with a hybrid ARIMA model based on integrated AIC and improved GS fixed-order methods and seasonal decomposition
- (2022) Lingxiao Zhao et al. Heliyon
- Forecasting of COVID-19 using deep layer Recurrent Neural Networks (RNNs) with Gated Recurrent Units (GRUs) and Long Short-Term Memory (LSTM) cells
- (2021) K.E. ArunKumar et al. CHAOS SOLITONS & FRACTALS
- PM2.5 concentration forecasting at surface monitoring sites using GRU neural network based on empirical mode decomposition
- (2021) Guoyan Huang et al. SCIENCE OF THE TOTAL ENVIRONMENT
- A novel hybrid model based on STL decomposition and one-dimensional convolutional neural networks with positional encoding for significant wave height forecast
- (2021) Shaobo Yang et al. RENEWABLE ENERGY
- GMDH-based wave prediction model for one-week nearshore waves using one-week forecasted global wave data
- (2021) Sooyoul Kim et al. APPLIED OCEAN RESEARCH
- Crude oil price prediction: A comparison between AdaBoost-LSTM and AdaBoost-GRU for improving forecasting performance
- (2021) Ganiyu Adewale Busari et al. COMPUTERS & CHEMICAL ENGINEERING
- Inline forces and bow wave height on a vertical cylinder moving in waves — Experimental study and CFD validation
- (2021) Ahmed Elhanafi et al. JOURNAL OF FLUIDS AND STRUCTURES
- Adaptive VMD based optimized deep learning mixed kernel ELM autoencoder for single and multistep wind power forecasting
- (2021) Vijaya Krishna Rayi et al. ENERGY
- An EMD-SVR model for short-term prediction of ship motion using mirror symmetry and SVR algorithms to eliminate EMD boundary effect
- (2020) Zhihong Nie et al. OCEAN ENGINEERING
- Significant wave height forecasting via an extreme learning machine model integrated with improved complete ensemble empirical mode decomposition
- (2019) Mumtaz Ali et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A novel hybrid decomposition-ensemble model based on VMD and HGWO for container throughput forecasting
- (2018) Mingfei Niu et al. APPLIED MATHEMATICAL MODELLING
- A new intelligent method based on combination of VMD and ELM for short term wind power forecasting
- (2016) Ali Akbar Abdoos NEUROCOMPUTING
- A hybrid EMD-SVR model for the short-term prediction of significant wave height
- (2016) W.Y. Duan et al. OCEAN ENGINEERING
- Variational Mode Decomposition
- (2014) Konstantin Dragomiretskiy et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Numerical simulation of tsunami wave height distribution for Turkish Black Sea coast in nonlinear dynamic keyboard model of underwater seismic source
- (2013) R.Kh. Mazova et al. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
- A joint distribution of significant wave height and characteristic surf parameter
- (2010) Dag Myrhaug et al. COASTAL ENGINEERING
- Statistical power of an information-based test and its application to wave height data
- (2010) Ahmet Sezer et al. COMPUTERS & GEOSCIENCES
- Investigating the advantages and disadvantages of realistic approach and porous approach for closely packed pebbles in CFD simulation
- (2010) C.Y. Wu et al. NUCLEAR ENGINEERING AND DESIGN
- Progress in ocean wave forecasting
- (2007) Peter A.E.M. Janssen JOURNAL OF COMPUTATIONAL PHYSICS
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