The Short-Term Wind Power Forecasting by Utilizing Machine Learning and Hybrid Deep Learning Frameworks

The Short-Term Wind Power Forecasting by Utilizing Machine Learning and Hybrid Deep Learning Frameworks

Wind power has become more popular due to an increase in energy demand and the rapid decline in conventional fossil fuels. This paper addresses the rising demand for accurate short-term wind power forecasting, which is critical for minimizing the impacts on grid operations and reducing associated co...

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Bibliographic Details
Main Authors:	Sunku V.S., Namboodiri V., Mukkamala R.
Format:	Article
Language:	English
Published:	Academy of Sciences of Moldova 2025-02-01
Series:	Problems of the Regional Energetics
Subjects:	wind power forecasting deep learning renewable energy performance metrics.
Online Access:	https://journal.ie.asm.md/assets/files/01_01_65_2025.pdf
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