Evaluation of the accuracy of soft computing learning algorithms in performance prediction of tidal turbine
Marine renewable energy has made significant progress in the last few decades. Even after making substantial progress, the cost of electricity produced by tidal turbines is high. Therefore, the current paper concentrated on reducing the cost of transportation and installation of the turbine by perfo...
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| Main Authors: | Band, S.S., Taherei Ghazvinei, P., bin Wan Yusof, K., Hossein Ahmadi, M., Nabipour, N., Chau, K.-W. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.23942 / |
| Published: |
John Wiley and Sons Ltd
2021
|
| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098177046&doi=10.1002%2fese3.849&partnerID=40&md5=7c5b0b1f8008f5d623c8241e46d3cd8b http://eprints.utp.edu.my/23942/ |
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