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

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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Bibliographic Details
Main Authors: Marcin Kopyt, Paweł Piotrowski, Dariusz Baczyński
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Energies
Subjects:
gradient-boosted decision tree
machine learning
short-term forecasting
wind farm
hyperparameter tuning
energy generation
Online Access:https://www.mdpi.com/1996-1073/17/23/6194
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