Predicting wind power using LSTM, Transformer, and other techniques

Predicting wind power using LSTM, Transformer, and other techniques

Predicting wind turbine energy is essential for optimizing renewable energy utilization and ensuring grid stability. Accurate forecasts enable effective resource planning, minimizing reliance on non-renewable energy sources and reducing carbon emissions. Additionally, precise predictions support eff...

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Bibliographic Details
Main Authors: Arun Kumar M, Rithick Joshua K, Sahana Rajesh, Caroline Dorathy Esther J, Kavitha Devi MK
Format: Article
Language:English
Published: AIMS Press 2024-12-01
Series:Clean Technologies and Recycling
Subjects:
temporal dependencies
feature engineering
ensemble methods
grid integration
hyperparameter tuning
Online Access:https://www.aimspress.com/article/doi/10.3934/ctr.2024007
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https://www.aimspress.com/article/doi/10.3934/ctr.2024007

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