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Journal Articles


A novel offshore wind power prediction model based on TCN-DANet-sparse transformer with dual-channel feature extraction and multi-scale temporal fusion

Published in Energy, 2024

A novel deep learning model combining Temporal Convolutional Network (TCN), Dual Attention Network (DANet), and Sparse Transformer for accurate offshore wind power prediction, featuring dual-channel feature extraction and multi-scale temporal fusion.

Recommended citation: Chen, J., et al. (2024). "A novel offshore wind power prediction model based on TCN-DANet-sparse transformer." Energy.