Statistical Methods for Degradation Estimation and Anomaly Detection in Photovoltaic Plants.
- DOI
- 10.3390/s21113733
- Published
- 2021 May 27
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s21113733,
title = {Statistical Methods for Degradation Estimation and Anomaly Detection in Photovoltaic Plants.},
author = {Dimitrievska V and Pittino F and Muehleisen W and Diewald N and Hilweg M and Montvay A and Hirschl C},
year = {2021},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s21113733},
url = {https://doi.org/10.3390/s21113733}
}RIS
TY - JOUR TI - Statistical Methods for Degradation Estimation and Anomaly Detection in Photovoltaic Plants. AU - Dimitrievska V AU - Pittino F AU - Muehleisen W AU - Diewald N AU - Hilweg M AU - Montvay A AU - Hirschl C PY - 2021 JO - Sensors (Basel, Switzerland) DO - 10.3390/s21113733 UR - https://doi.org/10.3390/s21113733 ER -
APA
V, D., F, P., W, M., N, D., M, H., A, M., & C, H. (2021). Statistical Methods for Degradation Estimation and Anomaly Detection in Photovoltaic Plants.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s21113733
Source records
- pubmed · retrieved 2026-09-25T12:20:35.505Z
- europe-pmc · retrieved 2026-09-25T12:20:35.515Z
- doaj · retrieved 2026-09-25T12:20:35.523Z