Using machine learning to derive spatial wave data: A case study for a marine energy site-Reference-Cited by-同舟云学术

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Using machine learning to derive spatial wave data: A case study for a marine energy site

Published:2021-08 Issue: Volume:142 Page:105066
ISSN:1364-8152
Container-title:Environmental Modelling & Software
language:en
Short-container-title:Environmental Modelling & Software

Author:

Chen Jiaxin,Pillai Ajit C.,Johanning Lars,Ashton Ian

Funder

Engineering and Physical Sciences Research Council

Publisher

Elsevier BV

Subject

Ecological Modelling,Environmental Engineering,Software

Reference46 articles.

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2. Energy performances and life cycle assessment of an Italian wind farm;Ardente;Renew. Sustain. Energy Rev.,2008

3. Spatial Variability of Wave Fields over the Scale of a Wave Energy Test Site;Ashton,2012

4. Spatial variability of waves within a marine energy site using in-situ measurements and a high resolution spectral wave model;Ashton;Energy,2014

5. A numerical approach for planning offshore wind farms from regional to local scales over the Mediterranean;Balog;Renew. Energy,2016

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