Machine learning-based long-term degradation and LCOE Analysis of floating PV with custom pontoon design.
- DOI
- 10.1371/journal.pone.0342926
- Published
- 2026-07-14
- Container
- PLoS One
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0342926,
title = {Machine learning-based long-term degradation and LCOE Analysis of floating PV with custom pontoon design.},
author = {Mohajon R and Polash MRI and Shahriar MN and Bhowmick A and Mondol PK and Mutsuddi H and Jihan JH and Mohammad N.},
year = {2026},
journal = {PLoS One},
doi = {10.1371/journal.pone.0342926},
url = {https://doi.org/10.1371/journal.pone.0342926}
}RIS
TY - JOUR TI - Machine learning-based long-term degradation and LCOE Analysis of floating PV with custom pontoon design. AU - Mohajon R AU - Polash MRI AU - Shahriar MN AU - Bhowmick A AU - Mondol PK AU - Mutsuddi H AU - Jihan JH AU - Mohammad N. PY - 2026 JO - PLoS One DO - 10.1371/journal.pone.0342926 UR - https://doi.org/10.1371/journal.pone.0342926 ER -
APA
R, M., MRI, P., MN, S., A, B., PK, M., H, M., JH, J., & N., M. (2026). Machine learning-based long-term degradation and LCOE Analysis of floating PV with custom pontoon design.. PLoS One. https://doi.org/10.1371/journal.pone.0342926
Source records
- europe-pmc · retrieved 2026-09-25T15:31:27.049Z