Wind turbine power output prediction model design based on artificial neural networks and climatic spatiotemporal data

B. Bilal, M. Ndongo, Kondo H. Adjallah, Alexandre Sava, Cheikh M. F. Kébé, P. A. Ndiaye, V. Sambou. Wind turbine power output prediction model design based on artificial neural networks and climatic spatiotemporal data. In IEEE International Conference on Industrial Technology, ICIT 2018, Lyon, France, February 20-22, 2018. pages 1085-1092, IEEE, 2018. [doi]

@inproceedings{BilalNASKNS18,
  title = {Wind turbine power output prediction model design based on artificial neural networks and climatic spatiotemporal data},
  author = {B. Bilal and M. Ndongo and Kondo H. Adjallah and Alexandre Sava and Cheikh M. F. Kébé and P. A. Ndiaye and V. Sambou},
  year = {2018},
  doi = {10.1109/ICIT.2018.8352329},
  url = {https://doi.org/10.1109/ICIT.2018.8352329},
  researchr = {https://researchr.org/publication/BilalNASKNS18},
  cites = {0},
  citedby = {0},
  pages = {1085-1092},
  booktitle = {IEEE International Conference on Industrial Technology, ICIT 2018, Lyon, France, February 20-22, 2018},
  publisher = {IEEE},
  isbn = {978-1-5090-5949-2},
}