Evaluation of the accuracy of soft computing learning algorithms in performance prediction of tidal turbine-Reference-Cited by-同舟云学术

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Evaluation of the accuracy of soft computing learning algorithms in performance prediction of tidal turbine

Published:2020-12-29 Issue:5 Volume:9 Page:633-644
ISSN:2050-0505
Container-title:Energy Science & Engineering
language:en
Short-container-title:Energy Sci Eng

Author:

Band Shahab S.¹²^ORCID,Taherei Ghazvinei Pezhman³^ORCID,bin Wan Yusof Khamaruzaman⁴,Hossein Ahmadi Mohammad⁵^ORCID,Nabipour Narjes²,Chau Kwok‐Wing⁶

Affiliation:

1. Future Technology Research Center National Yunlin University of Science and Technology Douliou Taiwan, R.O.C.

2. Institute of Research and Development Duy Tan University Da Nang Viet Nam

3. Young Researchers and Elite Club Shahr‐e‐Qods Branch Islamic Azad University (IAU) Tehran Iran

4. Civil and Environmental Engineering Department Universiti Teknologi PETRONAS Perak Malaysia

5. Faculty of Mechanical Engineering Shahrood University of Technology Shahrood Iran

6. Department of Civil and Environmental Engineering Hong Kong Polytechnic University Hong Kong China

Publisher

Wiley

Subject

General Energy,Safety, Risk, Reliability and Quality

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ese3.849

Reference65 articles.

1. Recent Developments in Ocean Energy and Offshore Wind: Financial Challenges and Environmental Misconceptions

2. Renewable energy from the ocean

3. Marine-current power generation by diffuser-augmented floating hydro-turbines

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