Liu, X.; Song, J.; Tao, H.; Wang, P.; Mo, H.; Du, W.
Quarter-Hourly Power Load Forecasting Based on a Hybrid CNN-BiLSTM-Attention Model with CEEMDAN, K-Means, and VMD. Energies 2025, 18, 2675.
https://doi.org/10.3390/en18112675
AMA Style
Liu X, Song J, Tao H, Wang P, Mo H, Du W.
Quarter-Hourly Power Load Forecasting Based on a Hybrid CNN-BiLSTM-Attention Model with CEEMDAN, K-Means, and VMD. Energies. 2025; 18(11):2675.
https://doi.org/10.3390/en18112675
Chicago/Turabian Style
Liu, Xiaoyu, Jiangfeng Song, Hai Tao, Peng Wang, Haihua Mo, and Wenjie Du.
2025. "Quarter-Hourly Power Load Forecasting Based on a Hybrid CNN-BiLSTM-Attention Model with CEEMDAN, K-Means, and VMD" Energies 18, no. 11: 2675.
https://doi.org/10.3390/en18112675
APA Style
Liu, X., Song, J., Tao, H., Wang, P., Mo, H., & Du, W.
(2025). Quarter-Hourly Power Load Forecasting Based on a Hybrid CNN-BiLSTM-Attention Model with CEEMDAN, K-Means, and VMD. Energies, 18(11), 2675.
https://doi.org/10.3390/en18112675