CLTS-Net: A More Accurate and Universal Method for the Long-Term Prediction of Significant Wave Height

A forecasting model for wave heights based on a long short-term memory neural network

(2021) Song Gao et al.   ACTA OCEANOLOGICA SINICA

An EEMD-BiLSTM Algorithm Integrated with Boruta Random Forest Optimiser for Significant Wave Height Forecasting along Coastal Areas of Queensland, Australia

(2021) Nawin Raj et al.   Remote Sensing

Ocean Wave Height Series Prediction with Numerical Long Short-Term Memory

(2021) Xiaoyu Zhang et al.   Journal of Marine Science and Engineering

ConvLSTM-Based Wave Forecasts in the South and East China Seas

(2021) Shuyi Zhou et al.   Frontiers in Marine Science

A Recurrent-Cascade-Neural network- nonlinear autoregressive networks with exogenous inputs (NARX) approach for long-term time-series prediction of wave height based on wave characteristics measurements

(2021) Yehia Miky et al.   OCEAN ENGINEERING

Improved short-term prediction of significant wave height by decomposing deterministic and stochastic components

(2021) Weinan Huang et al.   RENEWABLE ENERGY

A novel model to predict significant wave height based on long short-term memory network

(2020) Shuntao Fan et al.   OCEAN ENGINEERING

Numerical wave modeling for operational and survival analyses of wave energy converters at the US Navy Wave Energy Test Site in Hawaii

(2020) Ning Li et al.   RENEWABLE ENERGY

Multiplatform evaluation of global trends in wind speed and wave height

(2019) Ian R. Young et al.   SCIENCE

Wave energy assessment in the China adjacent seas on the basis of a 20-year SWAN simulation with unstructured grids

(2019) Yifan Lin et al.   RENEWABLE ENERGY

Editorial: Advanced research on offshore structures and foundation design: part 1

(2019) T. Fazeres-Ferradosa et al.   PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-MARITIME ENGINEERING

Inter-comparisons of SWAN hindcasts using boundary conditions from WAM and WWIII for northwest and northeast coasts of India

(2018) P.A. Umesh et al.   OCEAN ENGINEERING

Observation-based source terms in the third-generation wave model WAVEWATCH III: updates and verification

(2018) Qingxiang Liu et al.   JOURNAL OF PHYSICAL OCEANOGRAPHY

Characteristics of global waves based on the third-generation wave model SWAN

(2018) Bingchen Liang et al.   MARINE STRUCTURES

Coastal Wave Height Prediction using Recurrent Neural Networks (RNNs) in the South Caspian Sea

(2017) Tayeb Sadeghifar et al.   MARINE GEODESY

Performance evaluation of WAVEWATCH III model in the Persian Gulf using different wind resources

(2017) Mohammad Hossein Kazeminezhad et al.   OCEAN DYNAMICS

Long-term analysis of wave power potential in the Black Sea, based on 31-year SWAN simulations

(2017) Adem Akpınar et al.   OCEAN ENGINEERING

Neural-Network-Based Data Assimilation to Improve Numerical Ocean Wave Forecast

(2016) Aditya N. Deshmukh et al.   IEEE JOURNAL OF OCEANIC ENGINEERING

Significant wave height record extension by neural networks and reanalysis wind data

(2015) D.J. Peres et al.   OCEAN MODELLING