Wind power generation forecasting system based on multi-model intelligent fusion strategy and probabilistic forecasting technology.

Chen Y, Wang J, Li R, Zeng B, Lu H

Open source

DOI
10.1016/j.neunet.2025.107884
Published
2025 Dec
Container
Neural networks : the official journal of the International Neural Network Society
Publisher
Not recorded
Open access
no

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1016/j.neunet.2025.107884,
  title = {Wind power generation forecasting system based on multi-model intelligent fusion strategy and probabilistic forecasting technology.},
  author = {Chen Y and Wang J and Li R and Zeng B and Lu H},
  year = {2025},
  journal = {Neural networks : the official journal of the International Neural Network Society},
  doi = {10.1016/j.neunet.2025.107884},
  url = {https://doi.org/10.1016/j.neunet.2025.107884}
}

RIS

TY  - JOUR
TI  - Wind power generation forecasting system based on multi-model intelligent fusion strategy and probabilistic forecasting technology.
AU  - Chen Y
AU  - Wang J
AU  - Li R
AU  - Zeng B
AU  - Lu H
PY  - 2025
JO  - Neural networks : the official journal of the International Neural Network Society
DO  - 10.1016/j.neunet.2025.107884
UR  - https://doi.org/10.1016/j.neunet.2025.107884
ER  - 

APA

Y, C., J, W., R, L., B, Z., & H, L. (2025). Wind power generation forecasting system based on multi-model intelligent fusion strategy and probabilistic forecasting technology.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2025.107884

Source records