Wave energy resource characterization employing joint distributions in frequency-direction-time domain
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DOI: 10.1016/j.apenergy.2020.116407
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Cited by:
- Ahn, Seongho & Neary, Vincent S. & Haas, Kevin A., 2022. "Global wave energy resource classification system for regional energy planning and project development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
- Adedoyin Isola Lawal, 2023. "The Nexus between Economic Growth, Energy Consumption, Agricultural Output, and CO 2 in Africa: Evidence from Frequency Domain Estimates," Energies, MDPI, vol. 16(3), pages 1-27, January.
- 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.
- Shao, Zhuxiao & Gao, Huijun & Liang, Bingchen & Lee, Dongyoung, 2022. "Potential, trend and economic assessments of global wave power," Renewable Energy, Elsevier, vol. 195(C), pages 1087-1102.
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Keywords
Wave energy; Buoy measurement; Dominant wave energy system; Spatial variation; US west coast;All these keywords.
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