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

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...

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Bibliographic Details
Main Authors: Xin He, Yichen Ma, Jiancang Xie, Gang Zhang, Tuo Xie
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Energies
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
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