Enabling Virtual Met Masts for wind energy applications through machine learning-methods-Reference-Cited by-同舟云学术

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Enabling Virtual Met Masts for wind energy applications through machine learning-methods

Published:2023-01 Issue: Volume:11 Page:100209
ISSN:2666-5468
Container-title:Energy and AI
language:en
Short-container-title:Energy and AI

Author:

Schwegmann Sandra^ORCID,Faulhaber Janosch,Pfaffel Sebastian,Yu Zhongjie,Dörenkämper Martin,Kersting Kristian,Gottschall Julia

Publisher

Elsevier BV

Subject

Artificial Intelligence,General Energy,Engineering (miscellaneous)

Reference67 articles.

1. MEASNET procedure: Evaluation of site-specific wind conditions released;Strack,2010

2. Powering the 21st century by wind energy—Options, facts, figures;Rohrig;Appl Phys Rev,2019

3. Technical guideline for power plants part 6: Determination of wind potential and energy yields;FGW,2017

4. Evaluation of site-specific wind conditions: Version 2;MEASNET,2016

5. Understanding and mitigating the impact of data gaps on offshore wind resource estimates;Gottschall;Wind Energy Sci,2021

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