TCN-attention: a temporal convolutional network with self-attention mechanism for streamflow prediction in Chinese River Basins
Accurate streamflow prediction is essential for water resource management and hydropower scheduling. Traditional RNNs (LSTM, GRU) suffer from sequential processing limitations in capturing long-range temporal dependencies. We propose TCN-Attention, integrating Temporal Convolutional Networks with multi-head self-attent...