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Seongho Ahn
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Cited by
Year
Wave energy resource characterization and assessment for coastal waters of the United States
S Ahn, KA Haas, VS Neary
Applied energy 267, 114922, 2020
592020
Wave energy resource classification system for US coastal waters
S Ahn, KA Haas, VS Neary
Renewable and Sustainable Energy Reviews 104, 54-68, 2019
472019
Classification systems for wave energy resources and WEC technologies
VS Neary, RG Coe, J Cruz, K Haas, G Bacelli, Y Debruyne, S Ahn, ...
International Marine Energy Journal 1 (2 (Nov)), 71-79, 2018
392018
Characterization of extreme wave conditions for wave energy converter design and project risk assessment
VS Neary, S Ahn, BE Seng, MN Allahdadi, T Wang, Z Yang, R He
Journal of Marine Science and Engineering 8 (4), 289, 2020
352020
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 291, 116763, 2021
302021
Modeling mean relation between peak period and energy period of ocean surface wave systems
S Ahn
Ocean Engineering 228, 108937, 2021
292021
Nearshore wave energy resource characterization along the East Coast of the United States
S Ahn, VS Neary, MN Allahdadi, R He
Renewable Energy 172, 1212-1224, 2021
262021
Dominant Wave Energy Systems and Conditional Wave Resource Characterization for Coastal Waters of the United States
S Ahn, KA Haas, VS Neary
Energies 13 (12), 3041, 2020
242020
The inner-shelf dynamics experiment
N Kumar, JA Lerczak, T Xu, AF Waterhouse, J Thomson, EJ Terrill, ...
Bulletin of the American Meteorological Society 102 (5), E1033-E1063, 2021
232021
Non-stationary historical trends in wave energy climate for coastal waters of the United States
S Ahn, VS Neary
Ocean Engineering 216, 108044, 2020
192020
Global wave energy resource classification system for regional energy planning and project development
S Ahn, VS Neary, KA Haas
Renewable and Sustainable Energy Reviews 162, 112438, 2022
182022
Development and calibration of a high-resolution model for the Gulf of Mexico, Puerto Rico, and the US Virgin Islands: Implication for wave energy resource characterization
MN Allahdadi, R He, S Ahn, C Chartrand, VS Neary
Ocean Engineering 235, 109304, 2021
142021
Systematization of short-term forecasts of regional wave heights using a machine learning technique and long-term wave hindcast
S Ahn, TD Tran, J Kim
Ocean Engineering 264, 112593, 2022
132022
Wave energy resource characterization and classification for the United States & Numerical simulation of coastal circulation near Point Sal
S Ahn
Georgia Institute of Technology: Atlanta, GA, USA, 2019
112019
Characterization of wave energy resource hotspots and dominant wave energy systems in South Korean coastal waters
S Ahn, T Ha
Journal of Cleaner Production 309, 127202, 2021
102021
Wave energy resource characterization employing joint distributions in frequency-direction-time domain
S Ahn, VS Neary
Applied Energy 285, 116407, 2021
102021
Dominant wave energy systems and conditional wave resource characterization for coastal waters of the United States. Energies 13, 3041
S Ahn, KA Haas, VS Neary
72020
A practical method for modeling temporally-averaged ocean wave frequency-directional spectra for characterizing wave energy climates
S Ahn, VS Neary, T Ha
Renewable Energy 207, 499-511, 2023
42023
지진해일 재해정보도 제작
안성호, 하태민, 조용식
한국방재학회논문집 10 (4), 127-133, 2010
42010
A framework for feasibility-level validation of high-resolution wave hindcast models
S Ahn, VS Neary, MN Allahdadi, R He
Ocean Engineering 263, 112193, 2022
32022
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