Hybrid computational intelligence framework for accurate wind power forecasting and grid integration applications.
- DOI
- 10.1038/s41598-026-66248-z
- Published
- 2026 Aug 11
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-66248-z,
title = {Hybrid computational intelligence framework for accurate wind power forecasting and grid integration applications.},
author = {Alkhrissat T and Abed FB and Aldulaimi S and Chohan JS and Ranganathaswamy MK and Pradhan P and Mamadiyarov Z and Nurmatovich HA},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-66248-z},
url = {https://doi.org/10.1038/s41598-026-66248-z}
}RIS
TY - JOUR TI - Hybrid computational intelligence framework for accurate wind power forecasting and grid integration applications. AU - Alkhrissat T AU - Abed FB AU - Aldulaimi S AU - Chohan JS AU - Ranganathaswamy MK AU - Pradhan P AU - Mamadiyarov Z AU - Nurmatovich HA PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-66248-z UR - https://doi.org/10.1038/s41598-026-66248-z ER -
APA
T, A., FB, A., S, A., JS, C., MK, R., P, P., Z, M., & HA, N. (2026). Hybrid computational intelligence framework for accurate wind power forecasting and grid integration applications.. Scientific reports. https://doi.org/10.1038/s41598-026-66248-z
Source records
- pubmed · retrieved 2026-09-26T08:20:58.961Z