Optimal Predictive Maintenance Scheduling for Photovoltaic Systems Using Weather Features and Hybrid Machine Learning: A Case Study of the 10 MW Tozeur PV Power Plant
- DOI
- 10.21203/rs.3.rs-6430223/v1
- Published
- 2025-07-24
- 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-6430223/v1,
title = {Optimal Predictive Maintenance Scheduling for Photovoltaic Systems Using Weather Features and Hybrid Machine Learning: A Case Study of the 10 MW Tozeur PV Power Plant},
author = {Bechir Bouaziz and Manar Cherif and Faouzi Bacha},
year = {2025},
doi = {10.21203/rs.3.rs-6430223/v1},
url = {https://doi.org/10.21203/rs.3.rs-6430223/v1}
}RIS
TY - JOUR TI - Optimal Predictive Maintenance Scheduling for Photovoltaic Systems Using Weather Features and Hybrid Machine Learning: A Case Study of the 10 MW Tozeur PV Power Plant AU - Bechir Bouaziz AU - Manar Cherif AU - Faouzi Bacha PY - 2025 DO - 10.21203/rs.3.rs-6430223/v1 UR - https://doi.org/10.21203/rs.3.rs-6430223/v1 ER -
APA
Bouaziz, B., Cherif, M., & Bacha, F. (2025). Optimal Predictive Maintenance Scheduling for Photovoltaic Systems Using Weather Features and Hybrid Machine Learning: A Case Study of the 10 MW Tozeur PV Power Plant. https://doi.org/10.21203/rs.3.rs-6430223/v1
Source records
- crossref · retrieved 2026-11-10T14:15:50.693Z