Optimization of photoanode on dye-sensitized solar cell structure using k-nearest neighbor method

T. Paramitha; A. Supriyanto; S. Marcus; A. Purwanto; H. Widiyandari; H. K. Aliwarga; R. H. Kisdina; S. S. Nisa; N. Y.S. Subekti; R. T. Kisdina

doi:10.1088/1742-6596/2556/1/012005

Optimization of photoanode on dye-sensitized solar cell structure using k-nearest neighbor method

T. Paramitha, A. Supriyanto, S. Marcus, A. Purwanto, H. Widiyandari, H. K. Aliwarga, R. H. Kisdina, S. S. Nisa, N. Y.S. Subekti, R. T. Kisdina

Research output: Contribution to journal › Conference article › peer-review

Abstract

Dye-sensitized solar cells (DSSC) have recently gained significant attention in a number of markets and are recognized as a better option for energy generation than conventional ones, providing clean, sustainable, and renewable green energy. Several studies have focused on photoanode optimization using machine learning. Photoanode produces performance results in the form of Voc and Isc, which are then used as model training and validation data. The highest predictive results were obtained for A3+A2 (TiO₂ 18NR-T and TiO₂ R/SP). The TiO₂ layers combinations were prepared according to the optimization training performed was carried out with an efficiency of 2.630%.

Original language	English
Article number	012005
Journal	Journal of Physics: Conference Series
Volume	2556
Issue number	1
DOIs	https://doi.org/10.1088/1742-6596/2556/1/012005
Publication status	Published - 2023
Externally published	Yes
Event	7th International Conference on Advanced Materials for Better Future, ICAMBF 2022 - Virtual, Online, Indonesia Duration: 17 Oct 2022 → 18 Oct 2022

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10.1088/1742-6596/2556/1/012005

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Paramitha, T., Supriyanto, A., Marcus, S., Purwanto, A., Widiyandari, H., Aliwarga, H. K., Kisdina, R. H., Nisa, S. S., Subekti, N. Y. S., & Kisdina, R. T. (2023). Optimization of photoanode on dye-sensitized solar cell structure using k-nearest neighbor method. Journal of Physics: Conference Series, 2556(1), Article 012005. https://doi.org/10.1088/1742-6596/2556/1/012005

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title = "Optimization of photoanode on dye-sensitized solar cell structure using k-nearest neighbor method",

abstract = "Dye-sensitized solar cells (DSSC) have recently gained significant attention in a number of markets and are recognized as a better option for energy generation than conventional ones, providing clean, sustainable, and renewable green energy. Several studies have focused on photoanode optimization using machine learning. Photoanode produces performance results in the form of Voc and Isc, which are then used as model training and validation data. The highest predictive results were obtained for A3+A2 (TiO2 18NR-T and TiO2 R/SP). The TiO2 layers combinations were prepared according to the optimization training performed was carried out with an efficiency of 2.630%.",

author = "T. Paramitha and A. Supriyanto and S. Marcus and A. Purwanto and H. Widiyandari and Aliwarga, {H. K.} and Kisdina, {R. H.} and Nisa, {S. S.} and Subekti, {N. Y.S.} and Kisdina, {R. T.}",

note = "Publisher Copyright: {\textcopyright} Published under licence by IOP Publishing Ltd.; 7th International Conference on Advanced Materials for Better Future, ICAMBF 2022 ; Conference date: 17-10-2022 Through 18-10-2022",

year = "2023",

doi = "10.1088/1742-6596/2556/1/012005",

language = "English",

volume = "2556",

journal = "Journal of Physics: Conference Series",

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TY - JOUR

T1 - Optimization of photoanode on dye-sensitized solar cell structure using k-nearest neighbor method

AU - Paramitha, T.

AU - Supriyanto, A.

AU - Marcus, S.

AU - Purwanto, A.

AU - Widiyandari, H.

AU - Aliwarga, H. K.

AU - Kisdina, R. H.

AU - Nisa, S. S.

AU - Subekti, N. Y.S.

AU - Kisdina, R. T.

PY - 2023

Y1 - 2023

N2 - Dye-sensitized solar cells (DSSC) have recently gained significant attention in a number of markets and are recognized as a better option for energy generation than conventional ones, providing clean, sustainable, and renewable green energy. Several studies have focused on photoanode optimization using machine learning. Photoanode produces performance results in the form of Voc and Isc, which are then used as model training and validation data. The highest predictive results were obtained for A3+A2 (TiO2 18NR-T and TiO2 R/SP). The TiO2 layers combinations were prepared according to the optimization training performed was carried out with an efficiency of 2.630%.

AB - Dye-sensitized solar cells (DSSC) have recently gained significant attention in a number of markets and are recognized as a better option for energy generation than conventional ones, providing clean, sustainable, and renewable green energy. Several studies have focused on photoanode optimization using machine learning. Photoanode produces performance results in the form of Voc and Isc, which are then used as model training and validation data. The highest predictive results were obtained for A3+A2 (TiO2 18NR-T and TiO2 R/SP). The TiO2 layers combinations were prepared according to the optimization training performed was carried out with an efficiency of 2.630%.

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U2 - 10.1088/1742-6596/2556/1/012005

DO - 10.1088/1742-6596/2556/1/012005

M3 - Conference article

AN - SCOPUS:85171983905

SN - 1742-6588

VL - 2556

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

IS - 1

M1 - 012005

T2 - 7th International Conference on Advanced Materials for Better Future, ICAMBF 2022

Y2 - 17 October 2022 through 18 October 2022

ER -

Optimization of photoanode on dye-sensitized solar cell structure using k-nearest neighbor method

Abstract

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