Hybrid CEEMDAN-FELM-based machine learning model for accurate solar irradiance forecasting and techno-economic design of renewable hydrogen systems

Min Li, Yinping Jiang, Ge Cao, Tao Xu, Ruiqiang Guo. Hybrid CEEMDAN-FELM-based machine learning model for accurate solar irradiance forecasting and techno-economic design of renewable hydrogen systems. SUSCOM, 50:101321, 2026. [doi]

@article{LiJCXG26,
  title = {Hybrid CEEMDAN-FELM-based machine learning model for accurate solar irradiance forecasting and techno-economic design of renewable hydrogen systems},
  author = {Min Li and Yinping Jiang and Ge Cao and Tao Xu and Ruiqiang Guo},
  year = {2026},
  doi = {10.1016/j.suscom.2026.101321},
  url = {https://doi.org/10.1016/j.suscom.2026.101321},
  researchr = {https://researchr.org/publication/LiJCXG26},
  cites = {0},
  citedby = {0},
  journal = {SUSCOM},
  volume = {50},
  pages = {101321},
}