Automated Machine Learning for Wind Farms Location [* Cross-Reference *]

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Olivier Parisot; Thomas Tamisier, 2026, "Automated Machine Learning for Wind Farms Location [* Cross-Reference *]", https://lore.list.lu/citation?persistentId=perma:LIST.Z4FN6F, LIST Open Repository, V1
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Description
Automated Machine Learning aims at preparing effective Machine Learning models with little or no data science expertise. Tedious tasks like preprocessing, algorithm selection and hyper-parameters optimization are then automatized: end-users just have to apply and deploy the model that best suits the real world problem. In this paper, we experiment Automated Machine Learning to leverage open data sources for predicting potential next wind farms location in Luxembourg, France, Belgium and Germany. (2021-01-01)
***This entry has been automatically imported via OpenAlex by LIST harvest scripts. Please refer to https://doi.org/10.5220/0010232102220227 for the original and latest version of the publication*** (2026-07-01)
Subject Engineering; Mathematical Sciences; Physics; Social Sciences
Keyword Computer science, Artificial intelligence, Machine learning
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