Interpretable Wind Power Short-Term Power Prediction Model Using Deep Graph Attention Network

Interpretable Wind Power Short-Term Power Prediction Model Using Deep Graph Attention Network

High-precision spatial-temporal wind power prediction technology is of great significance for ensuring the safe and stable operation of power grids. The development of artificial intelligence technology provides a new scheme for modeling with strong spatial-temporal correlation. In addition, the exi...

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Bibliographic Details
Main Authors: Jinhua Zhang, Hui Li, Peng Cheng, Jie Yan
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Energies
Subjects:
wind power prediction
graph neural network
attention mechanism
interpretability
spatial-temporal characteristics
Online Access:https://www.mdpi.com/1996-1073/17/2/384

Internet

https://www.mdpi.com/1996-1073/17/2/384

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