Enhancing wind power forecasting accuracy through LSTM with adaptive wind speed calibration (C-LSTM).

Wang D, Xu M, Guangming Z, Luo F, Gao J, Chen Y

Open source

DOI
10.1038/s41598-025-89398-y
Published
2025 Feb 13
Container
Scientific reports
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 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:10.1038/s41598-025-89398-y,
  title = {Enhancing wind power forecasting accuracy through LSTM with adaptive wind speed calibration (C-LSTM).},
  author = {Wang D and Xu M and Guangming Z and Luo F and Gao J and Chen Y},
  year = {2025},
  journal = {Scientific reports},
  doi = {10.1038/s41598-025-89398-y},
  url = {https://doi.org/10.1038/s41598-025-89398-y}
}

RIS

TY  - JOUR
TI  - Enhancing wind power forecasting accuracy through LSTM with adaptive wind speed calibration (C-LSTM).
AU  - Wang D
AU  - Xu M
AU  - Guangming Z
AU  - Luo F
AU  - Gao J
AU  - Chen Y
PY  - 2025
JO  - Scientific reports
DO  - 10.1038/s41598-025-89398-y
UR  - https://doi.org/10.1038/s41598-025-89398-y
ER  - 

APA

D, W., M, X., Z, G., F, L., J, G., & Y, C. (2025). Enhancing wind power forecasting accuracy through LSTM with adaptive wind speed calibration (C-LSTM).. Scientific reports. https://doi.org/10.1038/s41598-025-89398-y

Source records