Enabling Virtual Met Masts for wind energy applications through machine learning-methods
As wind is the basis of all wind energy projects, a precise knowledge about its availability is needed. For an analysis of the site-specific wind conditions, Virtual Meteorological Masts (VMMs) are frequently used. VMMs make use of site calibrated numerical data to provide precise wind estimates dur...
Main Authors: | Sandra Schwegmann, Janosch Faulhaber, Sebastian Pfaffel, Zhongjie Yu, Martin Dörenkämper, Kristian Kersting, Julia Gottschall |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-01-01
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Series: | Energy and AI |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666546822000556 |
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