Super-Resolution for Renewable Energy Resource Data with Wind from Reanalysis Data and Application to Ukraine

Super-Resolution for Renewable Energy Resource Data with Wind from Reanalysis Data and Application to Ukraine

With a potentially increasing share of the electricity grid relying on wind to provide generating capacity and energy, there is an expanding global need for historically accurate, spatiotemporally continuous, high-resolution wind data. Conventional downscaling methods for generating these data based...

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Bibliographic Details
Main Authors: Brandon N. Benton, Grant Buster, Pavlo Pinchuk, Andrew Glaws, Ryan N. King, Galen Maclaurin, Ilya Chernyakhovskiy
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Energies
Subjects:
machine learning
downscaling
wind energy
ERA5
wind toolkit
Online Access:https://www.mdpi.com/1996-1073/18/14/3769
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