---
_id: '3301'
article_number: '5129'
article_type: review
author:
- first_name: Angellina
  full_name: Ebenezer Anitha, Angellina
  last_name: Ebenezer Anitha
- first_name: Marius
  full_name: Dotter, Marius
  id: '242889'
  last_name: Dotter
  orcid: 0000-0001-8398-1809
citation:
  alphadin: '<span style="font-variant:small-caps;">Ebenezer Anitha, Angellina</span>
    ; <span style="font-variant:small-caps;">Dotter, Marius</span>: A Review on Liquid
    Electrolyte Stability Issues for Commercialization of Dye-Sensitized Solar Cells
    (DSSC). In: <i>Energies</i> Bd. 16, MDPI AG (2023), Nr. 13'
  ama: Ebenezer Anitha A, Dotter M. A Review on Liquid Electrolyte Stability Issues
    for Commercialization of Dye-Sensitized Solar Cells (DSSC). <i>Energies</i>. 2023;16(13).
    doi:<a href="https://doi.org/10.3390/en16135129">10.3390/en16135129</a>
  apa: Ebenezer Anitha, A., &#38; Dotter, M. (2023). A Review on Liquid Electrolyte
    Stability Issues for Commercialization of Dye-Sensitized Solar Cells (DSSC). <i>Energies</i>,
    <i>16</i>(13). <a href="https://doi.org/10.3390/en16135129">https://doi.org/10.3390/en16135129</a>
  bibtex: '@article{Ebenezer Anitha_Dotter_2023, title={A Review on Liquid Electrolyte
    Stability Issues for Commercialization of Dye-Sensitized Solar Cells (DSSC)},
    volume={16}, DOI={<a href="https://doi.org/10.3390/en16135129">10.3390/en16135129</a>},
    number={135129}, journal={Energies}, publisher={MDPI AG}, author={Ebenezer Anitha,
    Angellina and Dotter, Marius}, year={2023} }'
  chicago: Ebenezer Anitha, Angellina, and Marius Dotter. “A Review on Liquid Electrolyte
    Stability Issues for Commercialization of Dye-Sensitized Solar Cells (DSSC).”
    <i>Energies</i> 16, no. 13 (2023). <a href="https://doi.org/10.3390/en16135129">https://doi.org/10.3390/en16135129</a>.
  ieee: A. Ebenezer Anitha and M. Dotter, “A Review on Liquid Electrolyte Stability
    Issues for Commercialization of Dye-Sensitized Solar Cells (DSSC),” <i>Energies</i>,
    vol. 16, no. 13, 2023.
  mla: Ebenezer Anitha, Angellina, and Marius Dotter. “A Review on Liquid Electrolyte
    Stability Issues for Commercialization of Dye-Sensitized Solar Cells (DSSC).”
    <i>Energies</i>, vol. 16, no. 13, 5129, MDPI AG, 2023, doi:<a href="https://doi.org/10.3390/en16135129">10.3390/en16135129</a>.
  short: A. Ebenezer Anitha, M. Dotter, Energies 16 (2023).
date_created: 2023-07-05T07:15:50Z
date_updated: 2026-03-17T15:28:43Z
doi: 10.3390/en16135129
file:
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publication: Energies
publication_identifier:
  eissn:
  - 1996-1073
publication_status: published
publisher: MDPI AG
status: public
title: A Review on Liquid Electrolyte Stability Issues for Commercialization of Dye-Sensitized
  Solar Cells (DSSC)
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...
---
_id: '2861'
article_number: '6567'
author:
- first_name: Jingwei
  full_name: Zhang, Jingwei
  last_name: Zhang
- first_name: Zenan
  full_name: Yang, Zenan
  last_name: Yang
- first_name: Kun
  full_name: Ding, Kun
  last_name: Ding
- first_name: Li
  full_name: Feng, Li
  id: '237630'
  last_name: Feng
- first_name: Frank
  full_name: Hamelmann, Frank
  id: '208487'
  last_name: Hamelmann
  orcid: 0000-0001-6141-9874
- first_name: Xihui
  full_name: Chen, Xihui
  last_name: Chen
- first_name: Yongjie
  full_name: Liu, Yongjie
  last_name: Liu
- first_name: Ling
  full_name: Chen, Ling
  last_name: Chen
citation:
  alphadin: '<span style="font-variant:small-caps;">Zhang, Jingwei</span> ; <span
    style="font-variant:small-caps;">Yang, Zenan</span> ; <span style="font-variant:small-caps;">Ding,
    Kun</span> ; <span style="font-variant:small-caps;">Feng, Li</span> ; <span style="font-variant:small-caps;">Hamelmann,
    Frank</span> ; <span style="font-variant:small-caps;">Chen, Xihui</span> ; <span
    style="font-variant:small-caps;">Liu, Yongjie</span> ; <span style="font-variant:small-caps;">Chen,
    Ling</span>: Modeling of Photovoltaic Array Based on Multi-Agent Deep Reinforcement
    Learning Using Residuals of I–V Characteristics. In: <i>Energies</i> Bd. 15, MDPI
    AG (2022), Nr. 18'
  ama: Zhang J, Yang Z, Ding K, et al. Modeling of Photovoltaic Array Based on Multi-Agent
    Deep Reinforcement Learning Using Residuals of I–V Characteristics. <i>Energies</i>.
    2022;15(18). doi:<a href="https://doi.org/10.3390/en15186567">10.3390/en15186567</a>
  apa: Zhang, J., Yang, Z., Ding, K., Feng, L., Hamelmann, F., Chen, X., … Chen, L.
    (2022). Modeling of Photovoltaic Array Based on Multi-Agent Deep Reinforcement
    Learning Using Residuals of I–V Characteristics. <i>Energies</i>, <i>15</i>(18).
    <a href="https://doi.org/10.3390/en15186567">https://doi.org/10.3390/en15186567</a>
  bibtex: '@article{Zhang_Yang_Ding_Feng_Hamelmann_Chen_Liu_Chen_2022, title={Modeling
    of Photovoltaic Array Based on Multi-Agent Deep Reinforcement Learning Using Residuals
    of I–V Characteristics}, volume={15}, DOI={<a href="https://doi.org/10.3390/en15186567">10.3390/en15186567</a>},
    number={186567}, journal={Energies}, publisher={MDPI AG}, author={Zhang, Jingwei
    and Yang, Zenan and Ding, Kun and Feng, Li and Hamelmann, Frank and Chen, Xihui
    and Liu, Yongjie and Chen, Ling}, year={2022} }'
  chicago: Zhang, Jingwei, Zenan Yang, Kun Ding, Li Feng, Frank Hamelmann, Xihui Chen,
    Yongjie Liu, and Ling Chen. “Modeling of Photovoltaic Array Based on Multi-Agent
    Deep Reinforcement Learning Using Residuals of I–V Characteristics.” <i>Energies</i>
    15, no. 18 (2022). <a href="https://doi.org/10.3390/en15186567">https://doi.org/10.3390/en15186567</a>.
  ieee: J. Zhang <i>et al.</i>, “Modeling of Photovoltaic Array Based on Multi-Agent
    Deep Reinforcement Learning Using Residuals of I–V Characteristics,” <i>Energies</i>,
    vol. 15, no. 18, 2022.
  mla: Zhang, Jingwei, et al. “Modeling of Photovoltaic Array Based on Multi-Agent
    Deep Reinforcement Learning Using Residuals of I–V Characteristics.” <i>Energies</i>,
    vol. 15, no. 18, 6567, MDPI AG, 2022, doi:<a href="https://doi.org/10.3390/en15186567">10.3390/en15186567</a>.
  short: J. Zhang, Z. Yang, K. Ding, L. Feng, F. Hamelmann, X. Chen, Y. Liu, L. Chen,
    Energies 15 (2022).
date_created: 2023-05-09T09:23:40Z
date_updated: 2026-03-17T15:28:38Z
doi: 10.3390/en15186567
intvolume: '        15'
issue: '18'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.mdpi.com/1996-1073/15/18/6567
oa: '1'
publication: Energies
publication_identifier:
  eissn:
  - 1996-1073
publication_status: published
publisher: MDPI AG
quality_controlled: '1'
status: public
title: Modeling of Photovoltaic Array Based on Multi-Agent Deep Reinforcement Learning
  Using Residuals of I–V Characteristics
tmp:
  image: /images/cc_by.png
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  short: CC BY (4.0)
type: journal_article
user_id: '245590'
volume: 15
year: '2022'
...
---
_id: '1412'
alternative_id:
- '4191'
article_number: '3741'
author:
- first_name: Fabian
  full_name: Schoden, Fabian
  id: '210954'
  last_name: Schoden
  orcid: 0000-0002-2481-7141
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-2481-7141/work/96000574
- first_name: Marius
  full_name: Dotter, Marius
  id: '242889'
  last_name: Dotter
  orcid: 0000-0001-8398-1809
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0001-8398-1809/work/96000575
- first_name: Dörthe
  full_name: Knefelkamp, Dörthe
  last_name: Knefelkamp
- first_name: Tomasz
  full_name: Blachowicz, Tomasz
  last_name: Blachowicz
- first_name: Eva
  full_name: Schwenzfeier-Hellkamp, Eva
  id: '72528'
  last_name: Schwenzfeier-Hellkamp
  orcid: 0000-0002-3020-1343
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-3020-1343/work/158833893
citation:
  alphadin: '<span style="font-variant:small-caps;">Schoden, Fabian</span> ; <span
    style="font-variant:small-caps;">Dotter, Marius</span> ; <span style="font-variant:small-caps;">Knefelkamp,
    Dörthe</span> ; <span style="font-variant:small-caps;">Blachowicz, Tomasz</span>
    ; <span style="font-variant:small-caps;">Schwenzfeier-Hellkamp, Eva</span>: Review
    of State of the Art Recycling Methods in the Context of Dye Sensitized Solar Cells.
    In: <i>Energies</i> Bd. 14, MDPI AG (2021), Nr. 13'
  ama: Schoden F, Dotter M, Knefelkamp D, Blachowicz T, Schwenzfeier-Hellkamp E. Review
    of State of the Art Recycling Methods in the Context of Dye Sensitized Solar Cells.
    <i>Energies</i>. 2021;14(13). doi:<a href="https://doi.org/10.3390/en14133741">10.3390/en14133741</a>
  apa: Schoden, F., Dotter, M., Knefelkamp, D., Blachowicz, T., &#38; Schwenzfeier-Hellkamp,
    E. (2021). Review of State of the Art Recycling Methods in the Context of Dye
    Sensitized Solar Cells. <i>Energies</i>, <i>14</i>(13). <a href="https://doi.org/10.3390/en14133741">https://doi.org/10.3390/en14133741</a>
  bibtex: '@article{Schoden_Dotter_Knefelkamp_Blachowicz_Schwenzfeier-Hellkamp_2021,
    title={Review of State of the Art Recycling Methods in the Context of Dye Sensitized
    Solar Cells}, volume={14}, DOI={<a href="https://doi.org/10.3390/en14133741">10.3390/en14133741</a>},
    number={133741}, journal={Energies}, publisher={MDPI AG}, author={Schoden, Fabian
    and Dotter, Marius and Knefelkamp, Dörthe and Blachowicz, Tomasz and Schwenzfeier-Hellkamp,
    Eva}, year={2021} }'
  chicago: Schoden, Fabian, Marius Dotter, Dörthe Knefelkamp, Tomasz Blachowicz, and
    Eva Schwenzfeier-Hellkamp. “Review of State of the Art Recycling Methods in the
    Context of Dye Sensitized Solar Cells.” <i>Energies</i> 14, no. 13 (2021). <a
    href="https://doi.org/10.3390/en14133741">https://doi.org/10.3390/en14133741</a>.
  ieee: F. Schoden, M. Dotter, D. Knefelkamp, T. Blachowicz, and E. Schwenzfeier-Hellkamp,
    “Review of State of the Art Recycling Methods in the Context of Dye Sensitized
    Solar Cells,” <i>Energies</i>, vol. 14, no. 13, 2021.
  mla: Schoden, Fabian, et al. “Review of State of the Art Recycling Methods in the
    Context of Dye Sensitized Solar Cells.” <i>Energies</i>, vol. 14, no. 13, 3741,
    MDPI AG, 2021, doi:<a href="https://doi.org/10.3390/en14133741">10.3390/en14133741</a>.
  short: F. Schoden, M. Dotter, D. Knefelkamp, T. Blachowicz, E. Schwenzfeier-Hellkamp,
    Energies 14 (2021).
date_created: 2021-06-24T08:07:11Z
date_updated: 2026-03-17T15:28:29Z
department:
- _id: '103'
doi: 10.3390/en14133741
intvolume: '        14'
issue: '13'
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- iso: eng
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  name: Institut für Technische Energie-Systeme
publication: Energies
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  eissn:
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publisher: MDPI AG
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