Huang, J.;                     Wei, Q.;                     Wang, T.;                     Ding, J.;                     Yu, L.;                     Wang, D.;                     Yu, Z.    
        Spatio-Temporal Feature Fusion-Based Hybrid GAT-CNN-LSTM Model for Enhanced Short-Term Power Load Forecasting. Energies 2025, 18, 5686.
    https://doi.org/10.3390/en18215686
    AMA Style
    
                                Huang J,                                 Wei Q,                                 Wang T,                                 Ding J,                                 Yu L,                                 Wang D,                                 Yu Z.        
                Spatio-Temporal Feature Fusion-Based Hybrid GAT-CNN-LSTM Model for Enhanced Short-Term Power Load Forecasting. Energies. 2025; 18(21):5686.
        https://doi.org/10.3390/en18215686
    
    Chicago/Turabian Style
    
                                Huang, Jia,                                 Qing Wei,                                 Tiankuo Wang,                                 Jiajun Ding,                                 Longfei Yu,                                 Diyang Wang,                                 and Zhitong Yu.        
                2025. "Spatio-Temporal Feature Fusion-Based Hybrid GAT-CNN-LSTM Model for Enhanced Short-Term Power Load Forecasting" Energies 18, no. 21: 5686.
        https://doi.org/10.3390/en18215686
    
    APA Style
    
                                Huang, J.,                                 Wei, Q.,                                 Wang, T.,                                 Ding, J.,                                 Yu, L.,                                 Wang, D.,                                 & Yu, Z.        
        
        (2025). Spatio-Temporal Feature Fusion-Based Hybrid GAT-CNN-LSTM Model for Enhanced Short-Term Power Load Forecasting. Energies, 18(21), 5686.
        https://doi.org/10.3390/en18215686