Short-Term Marine Wind Speed Forecasting Based on Dynamic Graph Embedding and Spatiotemporal Information

Short-Term Marine Wind Speed Forecasting Based on Dynamic Graph Embedding and Spatiotemporal Information

Predicting wind speed over the ocean is difficult due to the unequal distribution of buoy stations and the occasional fluctuations in the wind field. This study proposes a dynamic graph embedding-based graph neural network—long short-term memory joint framework (DGE-GAT-LSTM) to estimate wind speed...

Full description

Bibliographic Details
Main Authors: Dibo Dong, Shangwei Wang, Qiaoying Guo, Yiting Ding, Xing Li, Zicheng You
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Journal of Marine Science and Engineering
Subjects:
graph embedding
graph neural network
spatio-temporal information
wind data
Online Access:https://www.mdpi.com/2077-1312/12/3/502

Similar Items

Similar Items