Enhanced Random Vector Functional Link Networks With Bayesian-Based Hyperparameter Optimization for Wind Speed Forecasting

Accurate short-term wind speed forecasting is essential for reliable and efficient wind energy integration. This paper introduces an enhanced Random Vector Functional Link (RVFL) network optimized through a Bayesian-based Neural Architecture Search (NAS) framework. The proposed RVFL-OptBayes model i...

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Autors principals:	Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Matheus Henrique Dal Molin Ribeiro, Stefano Frizzo Stefenon
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2025-01-01
Col·lecció:	IEEE Access
Matèries:	Differentiable neural architecture neural network architectures predictive maintenance vibration forecasting anomaly detection
Accés en línia:	https://ieeexplore.ieee.org/document/11278055/
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