Optimized Numerical Model Based Assessment of Wave Power Potential of Marmara Sea
Author:
Publisher
Springer Science and Business Media LLC
Subject
Ocean Engineering,Oceanography
Link
http://link.springer.com/content/pdf/10.1007/s11802-019-3826-5.pdf
Reference40 articles.
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2. Akpınar, A., and Kömürcü, M. I., 2013. Assessment of wave energy resource of the Black Sea based on 15–year numerical hindcast data. Applied Energy, 101: 502–512. DOI: 10.1016/j.apenergy.2012.06.005.
3. Akpınar, A., Bingölbali, B., and Van vledder, G. P., 2017. Longterm analysis of wave power potential in the Black Sea, based on 31–year SWAN simulations. Ocean Engineering, 130: 482–497. DOI: 10.1016/j.oceaneng.2016.12.023.
4. Alonso, R., Solari, S., and Teixeira, L., 2015. Wave energy resource assessment in Uruguay. Energy, 93: 683–696. DOI: 10. 1016/j.energy.2015.08.114.
5. Altunkaynak, A., and Nigussie, T. A., 2015. Prediction of daily rainfall by a hybrid wavelet–season–neuro technique. Journal of Hydrology, 529: 287–301. DOI: 10.1016/j.jhydrol.2015.07.046.
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