| Title |
Surface vector fields estimation using soft computing and remote sensing data at an open water marine renewable test site |
| ID_Doc |
15893 |
| Authors |
Ren, L; Miao, JM; Hartnett, M |
| Title |
Surface vector fields estimation using soft computing and remote sensing data at an open water marine renewable test site |
| Year |
2020 |
| Published |
|
| DOI |
10.1016/j.egyr.2019.11.022 |
| Abstract |
Galway Bay has one of the world's few open water marine renewable test sites and so is of national and international interest. A high frequency radar system has been deployed in Galway Bay area to monitor near real time surface currents and waves since July 2011. In this research, a soft computing approach was applied to estimate surface vector fields using the observed radar data. Results indicate that soft computing is a novel and promising method to estimate surface vector fields. It provides a potential way to obtain useful information of coastal water body for marine renewable energy development and assessment. (C) 2019 Published by Elsevier Ltd. |
| Author Keywords |
Marine renewable energy; Soft computing; High Frequency radar; Galway Bay; Remote sensing; Surface currents |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000518455400137 |
| WoS Category |
Energy & Fuels |
| Research Area |
Energy & Fuels |
| PDF |
https://doi.org/10.1016/j.egyr.2019.11.022
|