Eintrag weiter verarbeiten
Surface vector fields estimation using soft computing and remote sensing data at an open water marine renewable test site
Gespeichert in:
| Veröffentlicht in: | Energy reports 6(2020), 1 vom: Feb., Seite 874-877 |
|---|---|
| Personen und Körperschaften: | , , |
| Titel: | Surface vector fields estimation using soft computing and remote sensing data at an open water marine renewable test site/ Lei Ren, Jianming Miao, Michael Hartnett |
| Format: | E-Book-Kapitel |
| Sprache: | Englisch |
| veröffentlicht: |
2020
|
| Gesamtaufnahme: |
: Energy reports, 6(2020), 1 vom: Feb., Seite 874-877
, volume:6 |
| Schlagwörter: | |
| Quelle: | Verbunddaten SWB Lizenzfreie Online-Ressourcen |
| Zusammenfassung: | 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. |
|---|---|
| ISSN: |
2352-4847
|
| DOI: | 10.1016/j.egyr.2019.11.022 |
| Zugang: | Open Access |