Short-Term Energy Generation Forecasts at a Wind Farm—A Multi-Variant Comparison of the Effectiveness and Performance of Various Gradient-Boosted Decision Tree Models

High-quality short-term forecasts of wind farm generation are crucial for the dynamically developing renewable energy generation sector. This article addresses the selection of appropriate gradient-boosted decision tree models (GBDT) for forecasting wind farm energy generation with a 10-min time hor...

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Principais autores:	Marcin Kopyt, Paweł Piotrowski, Dariusz Baczyński
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-12-01
coleção:	Energies
Assuntos:	gradient-boosted decision tree machine learning short-term forecasting wind farm hyperparameter tuning energy generation
Acesso em linha:	https://www.mdpi.com/1996-1073/17/23/6194
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