A spatiotemporal wind power forecasting method based on dual-view graph fusion and dual-granularity residual learning

Neural Networks 2026

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Authors: Z. Fan, Zhi-Hai Jiang, Maoxin Xia, Shuai Zhang, Ying Yan

DOI: 10.1016/j.neunet.2026.108923

Cited by: 2

References: 28

Fields of Study & Subjects

Energy Load and Power Forecasting Machine Fault Diagnosis Techniques Wind Energy Research and Development

References 28