SA-STGCN: A Spectral-Attentive Spatio-Temporal Graph Convolutional Network for Wind Power Forecasting with Wavelet-Enhanced Multi-Scale Learning

Wind power forecasting remains a major challenge for renewable energy integration, as conventional models often perform poorly when confronted with complex atmospheric dynamics. This study addresses the problem by developing a Spectral-Attentive Spatio-Temporal Graph Convolutional Network (SA-STGCN)...

Descripción completa

Detalles Bibliográficos

Autores principales:	Yakai Yang, Zhenqing Liu, Zhongze Yu
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2025-10-01
Colección:	Energies
Materias:	wind power forecasting spatio-temporal learning wavelet transform spectral graph convolution temporal attention
Acceso en línea:	https://www.mdpi.com/1996-1073/18/19/5315
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!