1 |
Inter- and intra-annual wave energy resource assessment in the south-western Black Sea coast Bingolbali B, Majidi AG, Akpinar A Renewable Energy, 169, 809, 2021 |
2 |
SEM-REV offshore energy site wind-wave bivariate statistics by hindcast Gaidai O, Xu XS, Wang JL, Ye RC, Cheng Y, Karpa O Renewable Energy, 156, 689, 2020 |
3 |
Predicting wave heights for marine design by prioritizing extreme events in a global model Haselsteiner AF, Thoben KD Renewable Energy, 156, 1146, 2020 |
4 |
WHTO: A methodology of calculating the energy extraction of wave energy convertors based on wave height reduction Shi HD, Zhao CY, Hann M, Greaves D, Han Z, Cao FF Energy, 185, 299, 2019 |
5 |
Effect of Installation of a Perforated Plate on Suppression of Sloshing Wave Height in a Rectangular Water Tank at Long-Period Earthquake Aoki D, Bando Y, Suzuki M KAGAKU KOGAKU RONBUNSHU, 45(2), 39, 2019 |
6 |
Suppression of Sloshing Wave Height by Installation of Perforated Plate in Real Water Tank Aoki D, Bando Y, Suzuki M KAGAKU KOGAKU RONBUNSHU, 45(5), 165, 2019 |
7 |
Experimental and numerical investigation on wave height and power take-off damping effects on the hydrodynamic performance of an offshore-stationary OWC wave energy converter Elhanafi A, Kim CJ Renewable Energy, 125, 518, 2018 |
8 |
Characteristics of an interfacial wave in a horizontal air-water stratified flow Bae B, Ahn T, Jeong J, Kim K, Yun B International Journal of Multiphase Flow, 97, 197, 2017 |
9 |
SEM-REV energy site extreme wave prediction Gaidai O, Ji CY, Kalogeri C, Gao JL Renewable Energy, 101, 894, 2017 |
10 |
Significant wave height and energy flux prediction for marine energy applications: A grouping genetic algorithm - Extreme Learning Machine approach Cornejo-Bueno L, Nieto-Borge JC, Garcia-Diaz P, Rodriguez G, Salcedo-Sanz S Renewable Energy, 97, 380, 2016 |