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2020 | OriginalPaper | Chapter

A Data-Driven Platform for Predicting the Position of Future Wind Turbines

Author : Olivier Parisot

Published in: Cooperative Design, Visualization, and Engineering

Publisher: Springer International Publishing

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Abstract

Optimal location of wind turbines is a complex decision problem involving environmental, performance, societal and other parameter. This paper investigates the domain by describing WindturbinesPlanner: by providing machine learning models trained on various data sources, the platform can help to anticipate the potential location of future onshore wind turbines in Luxembourg, France, Belgium and Germany.

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Footnotes
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Metadata
Title
A Data-Driven Platform for Predicting the Position of Future Wind Turbines
Author
Olivier Parisot
Copyright Year
2020
Book
Cooperative Design, Visualization, and Engineering

Print ISBN: 978-3-030-60815-6

Electronic ISBN: 978-3-030-60816-3

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-60816-3_15