A novel deep learning framework with artificial protozoa optimization-based adaptive environmental response for wind power prediction

A novel deep learning framework with artificial protozoa optimization-based adaptive environmental response for wind power prediction

Abstract Accurate very short-term wind power forecasting is critical for the reliable integration of renewable energy into modern power systems. However, the inherent variability and non-linearity of wind power data pose significant challenges. To address these, this study proposes a novel hybrid de...

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Bibliographic Details
Main Authors: Sangkeum Lee, Mohammad H. Almomani, Saleh Ali Alomari, Kashif Saleem, Aseel Smerat, Vaclav Snasel, Amir H. Gandomi, Laith Abualigah
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Wind power forecasting
Hybrid deep learning
Artificial Protozoa optimizer
Adaptive environmental response mechanism
Renewable energy integration
Time series prediction
Online Access:https://doi.org/10.1038/s41598-025-97793-8
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https://doi.org/10.1038/s41598-025-97793-8

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