The future of coastal and estuarine modeling: Findings from a workshop

OB Fringer, CN Dawson, R He, DK Ralston, YJ Zhang - Ocean modelling, 2019 - Elsevier
This paper summarizes the findings of a workshop convened in the United States in 2018 to
discuss methods in coastal and estuarine modeling and to propose key areas of research …

Multi-step forecasting of ocean wave height using gate recurrent unit networks with multivariate time series

X Li, J Cao, J Guo, C Liu, W Wang, Z Jia, T Su - Ocean Engineering, 2022 - Elsevier
Ocean wave height is an essential parameter for ocean engineering construction, planning
decisions, and coastal hazards assessment. Long-term, accurate, and reliable ocean wave …

A multi-layer perceptron approach for accelerated wave forecasting in Lake Michigan

X Feng, G Ma, SF Su, C Huang, MK Boswell, P Xue - Ocean Engineering, 2020 - Elsevier
A machine learning framework based on a multi-layer perceptron (MLP) algorithm was
established and applied to wave forecasting in Lake Michigan. The MLP model showed …

[HTML][HTML] Evaluation of the worldwide wave energy distribution based on ERA5 data and altimeter measurements

L Rusu, E Rusu - Energies, 2021 - mdpi.com
There is an increasing necessity in reducing CO2 emissions and implementing clean energy
technologies, and over the years the marine environment has shown a huge potential in …

A Delphi method to classify wave energy resource for the 21st century: Application to the NW Iberian Peninsula

AS Ribeiro, M DeCastro, X Costoya, L Rusu, JM Dias… - Energy, 2021 - Elsevier
Wave energy is poised to thrive as a renewable energy provider. Present and future wave
energy resource for the northwest Iberian Peninsula coast is classified by means of a …

Maybe less is more: Considering capacity factor, saturation, variability, and filtering effects of wave energy devices

RG Coe, S Ahn, VS Neary, PH Kobos, G Bacelli - Applied Energy, 2021 - Elsevier
While a great deal of research has been performed to quantify and characterize the wave
energy resource, there are still open questions about how a wave energy developer should …

Nearshore wave energy resource characterization along the East Coast of the United States

S Ahn, VS Neary, MN Allahdadi, R He - Renewable Energy, 2021 - Elsevier
A feasibility level nearshore wave energy resource characterization is conducted for the East
Coast of the United States using a 32-year (1979–2010) hindcast from a high-resolution …

Assessing the performance of SWAN model for wave simulations in the Bay of Bengal

W Zhang, H Zhao, G Chen, J Yang - Ocean Engineering, 2023 - Elsevier
This study aims to comparatively evaluate two reanalysis wind fields, simulate waves driven
by CFSv2 and ERA5, and test the simulation performance of the ST6 source term package of …

Characteristics and variability of the nearshore wave resource on the US West Coast

Z Yang, G García-Medina, WC Wu, T Wang - Energy, 2020 - Elsevier
Characterizing the nearshore wave resource at a regional scale poses a great challenge
because high-quality wave data are required. This paper presents a detailed analysis of …

Development and validation of a high-resolution regional wave hindcast model for US West Coast wave resource characterization

WC Wu, T Wang, Z Yang, G García-Medina - Renewable Energy, 2020 - Elsevier
Wave resource characterization is an essential step for wave energy converter development
in the ocean. However, accurate and detailed resource characterization at a regional scale …