Optimized variational mode decomposition–bidirectional long–short-term memory framework for short-term energy load forecasting

@article{meng-hua2026,
  title        = {{Optimized variational mode decomposition–bidirectional long–short-term memory framework for short-term energy load forecasting}},
  author       = {Meng-Hua Li et al.},
  journal      = {Engineering Optimization},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1080/0305215x.2026.2625909},
}

TY  - JOUR
TI  - Optimized variational mode decomposition–bidirectional long–short-term memory framework for short-term energy load forecasting
AU  - al., Meng-Hua Li et
JO  - Engineering Optimization
PY  - 2026
ER  -

Meng-Hua Li et al. (2026). Optimized variational mode decomposition–bidirectional long–short-term memory framework for short-term energy load forecasting. *Engineering Optimization*. https://doi.org/https://doi.org/10.1080/0305215x.2026.2625909

Meng-Hua Li et al.. "Optimized variational mode decomposition–bidirectional long–short-term memory framework for short-term energy load forecasting." *Engineering Optimization* (2026). https://doi.org/https://doi.org/10.1080/0305215x.2026.2625909.

Optimized variational mode decomposition–bidirectional long–short-term memory framework for short-term energy load forecasting
Meng-Hua Li et al. · Engineering Optimization · 2026
https://doi.org/https://doi.org/10.1080/0305215x.2026.2625909