STGATN: a wind speed forecasting method based on geospatial dependency

STGATN: a wind speed forecasting method based on geospatial dependency

Accurate wind speed forecasting is crucial for power systems, but wind speed as a spatially continuous field presents high randomness, fluctuation, and spatial heterogeneity under complex geographical environments, leading to challenges for predictive modeling. This paper proposes a wind speed forec...

Full description

Saved in:
Bibliographic Details
Main Authors: Xingtong Ge, Ling Peng, Yi Yang, Cang Qin, Jiahui Chen, Hongze Liu, Zhaobo Li
Format: Article
Language:English
Published: Taylor & Francis Group 2025-08-01
Series:International Journal of Digital Earth
Subjects:
Wind speed forecasting
spatial dependence
self-attention
spatiotemporal graph attention neural network
Online Access:https://www.tandfonline.com/doi/10.1080/17538947.2025.2496794
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items