A novel two-stage data-driven model for ultra-short-term wind speed prediction

Weicheng Hu, Qingshan Yang, Pei Zhang, Ziting Yuan, Hua-Peng Chen, Hongtao Shen, Tong Zhou, Kunpeng Guo, Tian Li

Open source

DOI
10.1016/j.egyr.2022.07.051
Published
2022-11
Container
Energy Reports
Publisher
Elsevier BV
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.egyr.2022.07.051,
  title = {A novel two-stage data-driven model for ultra-short-term wind speed prediction},
  author = {Weicheng Hu and Qingshan Yang and Pei Zhang and Ziting Yuan and Hua-Peng Chen and Hongtao Shen and Tong Zhou and Kunpeng Guo and Tian Li},
  year = {2022},
  journal = {Energy Reports},
  doi = {10.1016/j.egyr.2022.07.051},
  url = {https://doi.org/10.1016/j.egyr.2022.07.051}
}

RIS

TY  - JOUR
TI  - A novel two-stage data-driven model for ultra-short-term wind speed prediction
AU  - Weicheng Hu
AU  - Qingshan Yang
AU  - Pei Zhang
AU  - Ziting Yuan
AU  - Hua-Peng Chen
AU  - Hongtao Shen
AU  - Tong Zhou
AU  - Kunpeng Guo
AU  - Tian Li
PY  - 2022
JO  - Energy Reports
DO  - 10.1016/j.egyr.2022.07.051
UR  - https://doi.org/10.1016/j.egyr.2022.07.051
ER  - 

APA

Hu, W., Yang, Q., Zhang, P., Yuan, Z., Chen, H., Shen, H., Zhou, T., Guo, K., & Li, T. (2022). A novel two-stage data-driven model for ultra-short-term wind speed prediction. Energy Reports. https://doi.org/10.1016/j.egyr.2022.07.051

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