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How can artificial intelligence be used to find areas for wind turbines and solve other challenges associated with wind energy?

  • This article discusses the use of artificial intelligence in the wind energy industry, particularly in addressing challenges and optimizing the expansion of renewable energies in Germany. It highlights the application of artificial intelligence in wind forecasts and yield predictions, bird detection, wind turbine and farm design, condition monitoring, and predictive maintenance. Additionally, it introduces the “WindGISKI” research project, which aims to use artificial intelligence to identify new areas for wind turbines. The project utilizes a neural network to analyze and predict flight routes, potentially reducing bird mortality. The document also emphasizes the potential broader applications of “WindGISKI” in other fields of activity, such as land use planning and city development. Overall, it underscores the significant role of artificial intelligence in addressing challenges in wind energy and outlines the potential for artificial intelligence to drive the expansion of renewable energies while addressing key obstacles.
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https://doi.org/10.25974/ren_rev_2024_02

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Author:Jannes Bresgott
URN:urn:nbn:de:hbz:836-opus-176393
DOI:https://doi.org/10.25974/ren_rev_2024_02
Parent Title (English):Educational Journal of Renewable Energy Short Reviews
Series (Serial Number):EGU Master Journal of Renewable Energy Short Reviews (2024_02)
Document Type:Article
Language:English
Date of Publication (online):2024/01/30
Year of first Publication:2024
Provider of the Publication Server:FH Münster - University of Applied Sciences
Release Date:2024/02/01
Tag:WindGISKI; artificial intelligence; wind turbine
First Page:9
Last Page:13
Faculties:Energie · Gebäude · Umwelt (EGU)
open_access (DINI-Set):open_access
Licence (German):License LogoCreative Commons - Namensnennung (CC BY 4.0)