Enhanced Wind Power Forecasting Using Graph Convolutional Networks with Ramp Characterization and Error Correction

The strong volatility of wind power presents persistent challenges to the stable operation of power systems, highlighting the critical need for accurate wind power forecasting to ensure system reliability. This study proposes a wind power prediction approach based on graph convolutional networks, in...

Full description

Bibliographic Details

Published in:	Energies
Main Authors:	Xin He, Yichen Ma, Jiancang Xie, Gang Zhang, Tuo Xie
Format:	Article
Language:	English
Published:	MDPI AG 2025-05-01
Subjects:	short-term wind power prediction wind power ramp events ramp feature recognition graph convolutional network dynamic error correction
Online Access:	https://www.mdpi.com/1996-1073/18/11/2763