Python scripts for Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation.
- DOI
- 10.18710/lnxuir
- Published
- 2026
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- DataverseNO
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.18710/lnxuir,
title = {Python scripts for Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation.},
author = {Mathew, Manuel Sathyajith and Kandukuri, Surya Teja and Omlin, Christian},
year = {2026},
doi = {10.18710/lnxuir},
url = {https://doi.org/10.18710/lnxuir}
}RIS
TY - JOUR TI - Python scripts for Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation. AU - Mathew, Manuel Sathyajith AU - Kandukuri, Surya Teja AU - Omlin, Christian PY - 2026 DO - 10.18710/lnxuir UR - https://doi.org/10.18710/lnxuir ER -
APA
Sathyajith, M. M., Teja, K. S., & Christian, O. (2026). Python scripts for Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation.. https://doi.org/10.18710/lnxuir
Source records
- datacite · retrieved 2026-09-25T00:12:54.179Z