APA (7th ed.) Citation

Xu, F., Wang, Q., Du, X., Luo, K., & Fan, J. (2026). A novel hybrid short-term and ultra-short-term wind power forecasting method based on Weather Research and Forecasting: WRF-iTransformer-PSO. Energy, 353, N.PAG. https://doi.org/10.1016/j.energy.2026.140955

Chicago Style (17th ed.) Citation

Xu, Feiyan, Qiang Wang, Xinhao Du, Kun Luo, and Jianren Fan. "A Novel Hybrid Short-term and Ultra-short-term Wind Power Forecasting Method Based on Weather Research and Forecasting: WRF-iTransformer-PSO." Energy 353 (2026): N.PAG. https://doi.org/10.1016/j.energy.2026.140955.

MLA (9th ed.) Citation

Xu, Feiyan, et al. "A Novel Hybrid Short-term and Ultra-short-term Wind Power Forecasting Method Based on Weather Research and Forecasting: WRF-iTransformer-PSO." Energy, vol. 353, 2026, p. N.PAG, https://doi.org/10.1016/j.energy.2026.140955.