Computationally efficient gray-box modeling of photovoltaic parameters via higher-order degenerate Taylor polynomials and gradient boosting regression

Hasan Mithat Deli̇baş, Necip Fazil Yilmaz, Serkan Araci

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DOI: 10.1080/13873954.2026.2720255
Published: 2026-08-20
Container: Mathematical and Computer Modelling of Dynamical Systems
Publisher: Informa UK Limited
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1080/13873954.2026.2720255,
  title = {Computationally efficient gray-box modeling of photovoltaic parameters via higher-order degenerate Taylor polynomials and gradient boosting regression},
  author = {Hasan Mithat Deli̇baş and Necip Fazil Yilmaz and Serkan Araci},
  year = {2026},
  journal = {Mathematical and Computer Modelling of Dynamical Systems},
  doi = {10.1080/13873954.2026.2720255},
  url = {https://doi.org/10.1080/13873954.2026.2720255}
}

RIS

TY  - JOUR
TI  - Computationally efficient gray-box modeling of photovoltaic parameters via higher-order degenerate Taylor polynomials and gradient boosting regression
AU  - Hasan Mithat Deli̇baş
AU  - Necip Fazil Yilmaz
AU  - Serkan Araci
PY  - 2026
JO  - Mathematical and Computer Modelling of Dynamical Systems
DO  - 10.1080/13873954.2026.2720255
UR  - https://doi.org/10.1080/13873954.2026.2720255
ER  -

APA

Deli̇baş, H. M., Yilmaz, N. F., & Araci, S. (2026). Computationally efficient gray-box modeling of photovoltaic parameters via higher-order degenerate Taylor polynomials and gradient boosting regression. Mathematical and Computer Modelling of Dynamical Systems. https://doi.org/10.1080/13873954.2026.2720255

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crossref · retrieved 2026-11-11T03:32:47.122Z