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Wave power potential along the Atlantic coast of the southeastern USA

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  1. Iglesias, G. & Carballo, R., 2011. "Choosing the site for the first wave farm in a region: A case study in the Galician Southwest (Spain)," Energy, Elsevier, vol. 36(9), pages 5525-5531.
  2. Defne, Zafer & Haas, Kevin A. & Fritz, Hermann M., 2011. "Numerical modeling of tidal currents and the effects of power extraction on estuarine hydrodynamics along the Georgia coast, USA," Renewable Energy, Elsevier, vol. 36(12), pages 3461-3471.
  3. Ahn, Seongho & Haas, Kevin A. & Neary, Vincent S., 2019. "Wave energy resource classification system for US coastal waters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 54-68.
  4. Lin, Yifan & Dong, Sheng & Wang, Zhifeng & Guedes Soares, C., 2019. "Wave energy assessment in the China adjacent seas on the basis of a 20-year SWAN simulation with unstructured grids," Renewable Energy, Elsevier, vol. 136(C), pages 275-295.
  5. Felice Arena & Valentina Laface & Giovanni Malara & Alessandra Romolo, 2015. "Estimation of Downtime and of Missed Energy Associated with a Wave Energy Converter by the Equivalent Power Storm Model," Energies, MDPI, vol. 8(10), pages 1-17, October.
  6. Kalogeri, Christina & Galanis, George & Spyrou, Christos & Diamantis, Dimitris & Baladima, Foteini & Koukoula, Marika & Kallos, George, 2017. "Assessing the European offshore wind and wave energy resource for combined exploitation," Renewable Energy, Elsevier, vol. 101(C), pages 244-264.
  7. Seongho Ahn & Kevin A. Haas & Vincent S. Neary, 2020. "Dominant Wave Energy Systems and Conditional Wave Resource Characterization for Coastal Waters of the United States," Energies, MDPI, vol. 13(12), pages 1-26, June.
  8. López-Ruiz, Alejandro & Bergillos, Rafael J. & Ortega-Sánchez, Miguel, 2016. "The importance of wave climate forecasting on the decision-making process for nearshore wave energy exploitation," Applied Energy, Elsevier, vol. 182(C), pages 191-203.
  9. Rusu, Liliana & Guedes Soares, C., 2012. "Wave energy assessments in the Azores islands," Renewable Energy, Elsevier, vol. 45(C), pages 183-196.
  10. Pappas, Konstantinos & Mackie, Lucas & Zilakos, Ilias & van der Weijde, Adriaan Hendrik & Angeloudis, Athanasios, 2023. "Sensitivity of tidal range assessments to harmonic constituents and analysis timeframe," Renewable Energy, Elsevier, vol. 205(C), pages 125-141.
  11. Gonçalves, Marta & Martinho, Paulo & Guedes Soares, C., 2014. "Wave energy conditions in the western French coast," Renewable Energy, Elsevier, vol. 62(C), pages 155-163.
  12. Astariz, S. & Iglesias, G., 2015. "The economics of wave energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 397-408.
  13. Yuce, M. Ishak & Muratoglu, Abdullah, 2015. "Hydrokinetic energy conversion systems: A technology status review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 72-82.
  14. Lenee-Bluhm, Pukha & Paasch, Robert & Özkan-Haller, H. Tuba, 2011. "Characterizing the wave energy resource of the US Pacific Northwest," Renewable Energy, Elsevier, vol. 36(8), pages 2106-2119.
  15. Akpınar, Adem & Kömürcü, Murat İhsan, 2012. "Wave energy potential along the south-east coasts of the Black Sea," Energy, Elsevier, vol. 42(1), pages 289-302.
  16. García Medina, Gabriel & Yang, Zhaoqing & Li, Ning & Cheung, Kwok Fai & Lutu-McMoore, Elinor, 2023. "Wave climate and energy resources in American Samoa from a 42-year high-resolution hindcast," Renewable Energy, Elsevier, vol. 210(C), pages 604-617.
  17. Li, Jiangxia & Pan, Shunqi & Chen, Yongping & Yao, Yu & Xu, Conghao, 2022. "Assessment of combined wind and wave energy in the tropical cyclone affected region:An application in China seas," Energy, Elsevier, vol. 260(C).
  18. Halliday, J. Ross & Dorrell, David G. & Wood, Alan R., 2011. "An application of the Fast Fourier Transform to the short-term prediction of sea wave behaviour," Renewable Energy, Elsevier, vol. 36(6), pages 1685-1692.
  19. Alonso, Rodrigo & Solari, Sebastián & Teixeira, Luis, 2015. "Wave energy resource assessment in Uruguay," Energy, Elsevier, vol. 93(P1), pages 683-696.
  20. Sierra, J.P. & González-Marco, D. & Sospedra, J. & Gironella, X. & Mösso, C. & Sánchez-Arcilla, A., 2013. "Wave energy resource assessment in Lanzarote (Spain)," Renewable Energy, Elsevier, vol. 55(C), pages 480-489.
  21. Silva, Dina & Martinho, Paulo & Guedes Soares, C., 2018. "Wave energy distribution along the Portuguese continental coast based on a thirty three years hindcast," Renewable Energy, Elsevier, vol. 127(C), pages 1064-1075.
  22. Kirinus, Eduardo de Paula & Oleinik, Phelype Haron & Costi, Juliana & Marques, Wiliam Correa, 2018. "Long-term simulations for ocean energy off the Brazilian coast," Energy, Elsevier, vol. 163(C), pages 364-382.
  23. Wang, Zhifeng & Dong, Sheng & Li, Xue & Guedes Soares, C., 2016. "Assessments of wave energy in the Bohai Sea, China," Renewable Energy, Elsevier, vol. 90(C), pages 145-156.
  24. Khojasteh, Danial & Khojasteh, Davood & Kamali, Reza & Beyene, Asfaw & Iglesias, Gregorio, 2018. "Assessment of renewable energy resources in Iran; with a focus on wave and tidal energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2992-3005.
  25. Zanous, Sina Pasha & Shafaghat, Rouzbeh & Alamian, Rezvan & Shadloo, Mostafa Safdari & Khosravi, Mohammad, 2019. "Feasibility study of wave energy harvesting along the southern coast and islands of Iran," Renewable Energy, Elsevier, vol. 135(C), pages 502-514.
  26. Jahangir, Mohammad Hossein & Mazinani, Mehran, 2020. "Evaluation of the convertible offshore wave energy capacity of the southern strip of the Caspian Sea," Renewable Energy, Elsevier, vol. 152(C), pages 331-346.
  27. Allahdadi, M. Nabi & Gunawan, Budi & Lai, Jonathan & He, Ruoying & Neary, Vincent S., 2019. "Development and validation of a regional-scale high-resolution unstructured model for wave energy resource characterization along the US East Coast," Renewable Energy, Elsevier, vol. 136(C), pages 500-511.
  28. Mustapa, M.A. & Yaakob, O.B. & Ahmed, Yasser M. & Rheem, Chang-Kyu & Koh, K.K. & Adnan, Faizul Amri, 2017. "Wave energy device and breakwater integration: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 43-58.
  29. Stopa, Justin E. & Filipot, Jean-François & Li, Ning & Cheung, Kwok Fai & Chen, Yi-Leng & Vega, Luis, 2013. "Wave energy resources along the Hawaiian Island chain," Renewable Energy, Elsevier, vol. 55(C), pages 305-321.
  30. Ozkan, Cigdem & Mayo, Talea, 2019. "The renewable wave energy resource in coastal regions of the Florida peninsula," Renewable Energy, Elsevier, vol. 139(C), pages 530-537.
  31. Liang, Bingchen & Fan, Fei & Liu, Fushun & Gao, Shanhong & Zuo, Hongyan, 2014. "22-Year wave energy hindcast for the China East Adjacent Seas," Renewable Energy, Elsevier, vol. 71(C), pages 200-207.
  32. Aydoğan, Burak & Ayat, Berna & Yüksel, Yalçın, 2013. "Black Sea wave energy atlas from 13 years hindcasted wave data," Renewable Energy, Elsevier, vol. 57(C), pages 436-447.
  33. Besio, G. & Mentaschi, L. & Mazzino, A., 2016. "Wave energy resource assessment in the Mediterranean Sea on the basis of a 35-year hindcast," Energy, Elsevier, vol. 94(C), pages 50-63.
  34. Pasquale Contestabile & Vincenzo Ferrante & Diego Vicinanza, 2015. "Wave Energy Resource along the Coast of Santa Catarina (Brazil)," Energies, MDPI, vol. 8(12), pages 1-25, December.
  35. Kai Parker & Li Erikson & Jennifer Thomas & Kees Nederhoff & Patrick Barnard & Sanne Muis, 2023. "Relative contributions of water-level components to extreme water levels along the US Southeast Atlantic Coast from a regional-scale water-level hindcast," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(3), pages 2219-2248, July.
  36. Abanades, J. & Greaves, D. & Iglesias, G., 2015. "Coastal defence using wave farms: The role of farm-to-coast distance," Renewable Energy, Elsevier, vol. 75(C), pages 572-582.
  37. Hadadpour, Sanaz & Etemad-Shahidi, Amir & Jabbari, Ebrahim & Kamranzad, Bahareh, 2014. "Wave energy and hot spots in Anzali port," Energy, Elsevier, vol. 74(C), pages 529-536.
  38. Kovaleva, Olga & Eelsalu, Maris & Soomere, Tarmo, 2017. "Hot-spots of large wave energy resources in relatively sheltered sections of the Baltic Sea coast," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 424-437.
  39. Astariz, S. & Perez-Collazo, C. & Abanades, J. & Iglesias, G., 2015. "Towards the optimal design of a co-located wind-wave farm," Energy, Elsevier, vol. 84(C), pages 15-24.
  40. Coe, Ryan G. & Ahn, Seongho & Neary, Vincent S. & Kobos, Peter H. & Bacelli, Giorgio, 2021. "Maybe less is more: Considering capacity factor, saturation, variability, and filtering effects of wave energy devices," Applied Energy, Elsevier, vol. 291(C).
  41. Ahn, Seongho & Haas, Kevin A. & Neary, Vincent S., 2020. "Wave energy resource characterization and assessment for coastal waters of the United States," Applied Energy, Elsevier, vol. 267(C).
  42. Emmanouil, George & Galanis, George & Kalogeri, Christina & Zodiatis, George & Kallos, George, 2016. "10-year high resolution study of wind, sea waves and wave energy assessment in the Greek offshore areas," Renewable Energy, Elsevier, vol. 90(C), pages 399-419.
  43. Zodiatis, George & Galanis, George & Nikolaidis, Andreas & Kalogeri, Christina & Hayes, Dan & Georgiou, Georgios C. & Chu, Peter C. & Kallos, George, 2014. "Wave energy potential in the Eastern Mediterranean Levantine Basin. An integrated 10-year study," Renewable Energy, Elsevier, vol. 69(C), pages 311-323.
  44. Zhou, Guoqing & Huang, Jingjin & Yue, Tao & Luo, Qingli & Zhang, Guangyun, 2015. "Temporal-spatial distribution of wave energy: A case study of Beibu Gulf, China," Renewable Energy, Elsevier, vol. 74(C), pages 344-356.
  45. Soomere, Tarmo & Eelsalu, Maris, 2014. "On the wave energy potential along the eastern Baltic Sea coast," Renewable Energy, Elsevier, vol. 71(C), pages 221-233.
  46. Cuadra, L. & Salcedo-Sanz, S. & Nieto-Borge, J.C. & Alexandre, E. & Rodríguez, G., 2016. "Computational intelligence in wave energy: Comprehensive review and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1223-1246.
  47. Guillou, Nicolas & Chapalain, Georges, 2020. "Assessment of wave power variability and exploitation with a long-term hindcast database," Renewable Energy, Elsevier, vol. 154(C), pages 1272-1282.
  48. Wu, Shuping & Liu, Chuanyu & Chen, Xinping, 2015. "Offshore wave energy resource assessment in the East China Sea," Renewable Energy, Elsevier, vol. 76(C), pages 628-636.
  49. Liang, Bingchen & Fan, Fei & Yin, Zegao & Shi, Hongda & Lee, Dongyong, 2013. "Numerical modelling of the nearshore wave energy resources of Shandong peninsula, China," Renewable Energy, Elsevier, vol. 57(C), pages 330-338.
  50. Zhou, Guoqing & Huang, Jingjin & Zhang, Guangyun, 2015. "Evaluation of the wave energy conditions along the coastal waters of Beibu Gulf, China," Energy, Elsevier, vol. 85(C), pages 449-457.
  51. Muhammed Zafar Ali Khan & Haider Ali Khan & Muhammad Aziz, 2022. "Harvesting Energy from Ocean: Technologies and Perspectives," Energies, MDPI, vol. 15(9), pages 1-43, May.
  52. Ahn, Seongho & Neary, Vincent S. & Allahdadi, Mohammad Nabi & He, Ruoying, 2021. "Nearshore wave energy resource characterization along the East Coast of the United States," Renewable Energy, Elsevier, vol. 172(C), pages 1212-1224.
  53. Iglesias, G. & Carballo, R., 2014. "Wave farm impact: The role of farm-to-coast distance," Renewable Energy, Elsevier, vol. 69(C), pages 375-385.
  54. Sanil Kumar, V. & Anoop, T.R., 2015. "Wave energy resource assessment for the Indian shelf seas," Renewable Energy, Elsevier, vol. 76(C), pages 212-219.
  55. Chen, Xinping & Wang, Kaimin & Zhang, Zenghai & Zeng, Yindong & Zhang, Yao & O'Driscoll, Kieran, 2017. "An assessment of wind and wave climate as potential sources of renewable energy in the nearshore Shenzhen coastal zone of the South China Sea," Energy, Elsevier, vol. 134(C), pages 789-801.
  56. Mackay, Edward B.L. & Bahaj, AbuBakr S. & Challenor, Peter G., 2010. "Uncertainty in wave energy resource assessment. Part 1: Historic data," Renewable Energy, Elsevier, vol. 35(8), pages 1792-1808.
  57. Mirzaei, Ali & Tangang, Fredolin & Juneng, Liew, 2014. "Wave energy potential along the east coast of Peninsular Malaysia," Energy, Elsevier, vol. 68(C), pages 722-734.
  58. Yaakob, Omar & Hashim, Farah Ellyza & Mohd Omar, Kamaludin & Md Din, Ami Hassan & Koh, Kho King, 2016. "Satellite-based wave data and wave energy resource assessment for South China Sea," Renewable Energy, Elsevier, vol. 88(C), pages 359-371.
  59. Akpınar, Adem & Kömürcü, Murat İhsan, 2013. "Assessment of wave energy resource of the Black Sea based on 15-year numerical hindcast data," Applied Energy, Elsevier, vol. 101(C), pages 502-512.
  60. Guillou, Nicolas, 2020. "Estimating wave energy flux from significant wave height and peak period," Renewable Energy, Elsevier, vol. 155(C), pages 1383-1393.
  61. de Oliveira, Lucas & Santos, Ivan Felipe Silva dos & Schmidt, Nágila Lucietti & Tiago Filho, Geraldo Lúcio & Camacho, Ramiro Gustavo Ramirez & Barros, Regina Mambeli, 2021. "Economic feasibility study of ocean wave electricity generation in Brazil," Renewable Energy, Elsevier, vol. 178(C), pages 1279-1290.
  62. Cornejo-Bueno, L. & Nieto-Borge, J.C. & García-Díaz, P. & Rodríguez, G. & Salcedo-Sanz, S., 2016. "Significant wave height and energy flux prediction for marine energy applications: A grouping genetic algorithm – Extreme Learning Machine approach," Renewable Energy, Elsevier, vol. 97(C), pages 380-389.
  63. Defne, Zafer & Haas, Kevin A. & Fritz, Hermann M., 2011. "GIS based multi-criteria assessment of tidal stream power potential: A case study for Georgia, USA," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(5), pages 2310-2321, June.
  64. Gómez-Orellana, A.M. & Guijo-Rubio, D. & Gutiérrez, P.A. & Hervás-Martínez, C., 2022. "Simultaneous short-term significant wave height and energy flux prediction using zonal multi-task evolutionary artificial neural networks," Renewable Energy, Elsevier, vol. 184(C), pages 975-989.
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