Temporal Dynamic Network With Learnable Coupled Adjacent Matrix for Wind Forecasting

Author:

Yu Tingzhao1ORCID,Yang Ruyi1ORCID

Affiliation:

1. Public Meteorological Service Center, China Meteorological Administration, Beijing, China

Funder

National Natural Science Foundation of China

Innovation Development Project of China Meteorological Administration

Key Innovation Team of China Meteorological Administration on Energy and Meteorological

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Reference22 articles.

1. Wind speed prediction using multidimensional convolutional neural networks

2. Notions on learning applied to wind turbine development in the Netherlands and Denmark

3. Discrete graph structure learning for forecasting multiple time series;shang;arXiv 2101 06861,2021

4. Diffusion convolutional recurrent neural network: Data-driven traffic forecasting;li;arXiv 1707 01926,2017

5. Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting

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