Hybrid attention-based deep neural networks for short-term wind power forecasting using meteorological data in desert regions.

MLA

Belletreche, Moussa, et al. “Hybrid Attention-Based Deep Neural Networks for Short-Term Wind Power Forecasting Using Meteorological Data in Desert Regions.” Scientific Reports, vol. 14, no. 1, Sept. 2024, p. 21842. EBSCOhost, https://doi.org/10.1038/s41598-024-73076-6.

APA

Belletreche, M., Bailek, N., Abotaleb, M., Bouchouicha, K., Zerouali, B., Guermoui, M., Kuriqi, A., Alharbi, A. H., Khafaga, D. S., El-Shimy, M., & El-Kenawy, E.-S. M. (2024). Hybrid attention-based deep neural networks for short-term wind power forecasting using meteorological data in desert regions. Scientific Reports, 14(1), 21842. https://doi.org/10.1038/s41598-024-73076-6

Chicago

Belletreche, Moussa, Nadjem Bailek, Mostafa Abotaleb, Kada Bouchouicha, Bilel Zerouali, Mawloud Guermoui, Alban Kuriqi, et al. 2024. “Hybrid Attention-Based Deep Neural Networks for Short-Term Wind Power Forecasting Using Meteorological Data in Desert Regions.” Scientific Reports 14 (1): 21842. doi:10.1038/s41598-024-73076-6.