Site-adapted U-Net and classical benchmarking for wind turbine power curve modeling under SCADA data quality variation
- DOI
- 10.21203/rs.3.rs-11205206/v1
- Published
- 2026-10-29
- Container
- Not recorded
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.21203/rs.3.rs-11205206/v1,
title = {Site-adapted U-Net and classical benchmarking for wind turbine power curve modeling under SCADA data quality variation},
author = {Syed Muhammad Hamza Tauqeer and Shibli Nisar and Armoghan Khan and Ammad Ali Khan},
year = {2026},
doi = {10.21203/rs.3.rs-11205206/v1},
url = {https://doi.org/10.21203/rs.3.rs-11205206/v1}
}RIS
TY - JOUR TI - Site-adapted U-Net and classical benchmarking for wind turbine power curve modeling under SCADA data quality variation AU - Syed Muhammad Hamza Tauqeer AU - Shibli Nisar AU - Armoghan Khan AU - Ammad Ali Khan PY - 2026 DO - 10.21203/rs.3.rs-11205206/v1 UR - https://doi.org/10.21203/rs.3.rs-11205206/v1 ER -
APA
Tauqeer, S. M. H., Nisar, S., Khan, A., & Khan, A. A. (2026). Site-adapted U-Net and classical benchmarking for wind turbine power curve modeling under SCADA data quality variation. https://doi.org/10.21203/rs.3.rs-11205206/v1
Source records
- crossref · retrieved 2026-11-05T07:46:12.958Z