Chao-Hui Hao

Air Quality Index Forecasting Based on a CEEMDAN-KPCA-TCN-BiGRU-AMRC Hybrid Model

Experimental results show that the proposed model outperforms the comparative model in terms of RMSE, MAE, MAPE, and R², and exhibits better tracking capabilities during local peaks, drastic fluctuations, and medium-to-high pollution stages.