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)...

Popoln opis

Bibliografske podrobnosti

Principais autores:	Yakai Yang, Zhenqing Liu, Zhongze Yu
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2025-10-01
Serija:	Energies
Teme:	wind power forecasting spatio-temporal learning wavelet transform spectral graph convolution temporal attention
Online dostop:	https://www.mdpi.com/1996-1073/18/19/5315
Oznake:	Označite Brez oznak, prvi označite!