Dynamic forecasting of China's carbon market prices by the coupling of macroeconomic indicators and LSTM model.

Notably, the differences between the LSTM-CNN model and the standalone LSTM, BiLSTM, GRU, Transformer, and GAN models are highly significant ( p < 0.01), while the difference with the standalone CNN is slightly less significant ( p = 0.015).

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