Meng, X.; Wang, J.; Li, D.; Zhang, H.; Sun, Q.; Wang, H.
ICEEMDAN- and LSTM-Enhanced Hybrid Cosine-Attention iTransformer for Ultra-Short-Term Load Forecasting. Electronics 2025, 14, 4857.
https://doi.org/10.3390/electronics14244857
AMA Style
Meng X, Wang J, Li D, Zhang H, Sun Q, Wang H.
ICEEMDAN- and LSTM-Enhanced Hybrid Cosine-Attention iTransformer for Ultra-Short-Term Load Forecasting. Electronics. 2025; 14(24):4857.
https://doi.org/10.3390/electronics14244857
Chicago/Turabian Style
Meng, Xiangdong, Jiarui Wang, Dexin Li, Haifeng Zhang, Qiran Sun, and Hui Wang.
2025. "ICEEMDAN- and LSTM-Enhanced Hybrid Cosine-Attention iTransformer for Ultra-Short-Term Load Forecasting" Electronics 14, no. 24: 4857.
https://doi.org/10.3390/electronics14244857
APA Style
Meng, X., Wang, J., Li, D., Zhang, H., Sun, Q., & Wang, H.
(2025). ICEEMDAN- and LSTM-Enhanced Hybrid Cosine-Attention iTransformer for Ultra-Short-Term Load Forecasting. Electronics, 14(24), 4857.
https://doi.org/10.3390/electronics14244857