GWO-DAGRU: A hybrid deep learning framework with metaheuristic feature selection and self-weighted context GRU for short-term wind power forecast

@article{saira2026,
  title        = {{GWO-DAGRU: A hybrid deep learning framework with metaheuristic feature selection and self-weighted context GRU for short-term wind power forecast}},
  author       = {Saira Mudassar et al.},
  journal      = {Expert Systems with Applications},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1016/j.eswa.2026.131279},
}

TY  - JOUR
TI  - GWO-DAGRU: A hybrid deep learning framework with metaheuristic feature selection and self-weighted context GRU for short-term wind power forecast
AU  - al., Saira Mudassar et
JO  - Expert Systems with Applications
PY  - 2026
ER  -

Saira Mudassar et al. (2026). GWO-DAGRU: A hybrid deep learning framework with metaheuristic feature selection and self-weighted context GRU for short-term wind power forecast. *Expert Systems with Applications*. https://doi.org/https://doi.org/10.1016/j.eswa.2026.131279

Saira Mudassar et al.. "GWO-DAGRU: A hybrid deep learning framework with metaheuristic feature selection and self-weighted context GRU for short-term wind power forecast." *Expert Systems with Applications* (2026). https://doi.org/https://doi.org/10.1016/j.eswa.2026.131279.

GWO-DAGRU: A hybrid deep learning framework with metaheuristic feature selection and self-weighted context GRU for short-term wind power forecast
Saira Mudassar et al. · Expert Systems with Applications · 2026
https://doi.org/https://doi.org/10.1016/j.eswa.2026.131279