Detection of faults in solar panels using deep learning

Seung Heon Han; Tariq Rahim; Soo Young Shin

doi:10.1109/ICEIC51217.2021.9369744

Detection of faults in solar panels using deep learning

Seung Heon Han
, Tariq Rahim
, Soo Young Shin

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	Published in: 2021 International Conference on Electronics, Information, and Communication (ICEIC) : Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. pp. 1-4. ISBN: 9781728191614 This research was supported by the Grand Information Technology Research Center Program through the Institute of Information and Communications Technology and Planning and Evaluation (IITP) funded by the Ministry of Science and ICT (MSIT), Korea [grant number: IITP-2020-2020-0-01612]. Organising Body: Institute of Electrical and Electronics Engineers , Institute of Electronics and Information Engineers Organising Body: Institute of Electrical and Electronics Engineers , Institute of Electronics and Information Engineers
Pages	1-4
DOIs	https://doi.org/10.1109/ICEIC51217.2021.9369744
Publication status	Published - 31 Jan 2021

Bibliographical note

Note: Published in: 2021 International Conference on Electronics, Information, and Communication (ICEIC) : Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. pp. 1-4. ISBN: 9781728191614

This research was supported by the Grand Information Technology Research Center Program through the Institute of Information and Communications Technology and Planning and Evaluation (IITP) funded by the Ministry of Science and ICT (MSIT), Korea [grant number: IITP-2020-2020-0-01612].

Organising Body: Institute of Electrical and Electronics Engineers , Institute of Electronics and Information Engineers

Organising Body: Institute of Electrical and Electronics Engineers , Institute of Electronics and Information Engineers

Keywords

Computer science and informatics

Access to Document

10.1109/ICEIC51217.2021.9369744

https://doi.org/10.1109/ICEIC51217.2021.9369744

Detection of faults in solar panels using deep learning
Han, S. H., Rahim, T. & Shin, S. Y., 31 Jan 2021.
Research output: Contribution to conference › Paper › peer-review

Cite this

Han, S. H., Rahim, T., & Shin, S. Y. (2021). Detection of faults in solar panels using deep learning. In Published in: 2021 International Conference on Electronics, Information, and Communication (ICEIC) : Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. pp. 1-4. ISBN: 9781728191614 This research was supported by the Grand Information Technology Research Center Program through the Institute of Information and Communications Technology and Planning and Evaluation (IITP) funded by the Ministry of Science and ICT (MSIT), Korea [grant number: IITP-2020-2020-0-01612]. Organising Body: Institute of Electrical and Electronics Engineers , Institute of Electronics and Information Engineers Organising Body: Institute of Electrical and Electronics Engineers , Institute of Electronics and Information Engineers (pp. 1-4) https://doi.org/10.1109/ICEIC51217.2021.9369744

Han, Seung Heon ; Rahim, Tariq ; Shin, Soo Young. / Detection of faults in solar panels using deep learning. Published in: 2021 International Conference on Electronics, Information, and Communication (ICEIC) : Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. pp. 1-4. ISBN: 9781728191614 This research was supported by the Grand Information Technology Research Center Program through the Institute of Information and Communications Technology and Planning and Evaluation (IITP) funded by the Ministry of Science and ICT (MSIT), Korea [grant number: IITP-2020-2020-0-01612]. Organising Body: Institute of Electrical and Electronics Engineers , Institute of Electronics and Information Engineers Organising Body: Institute of Electrical and Electronics Engineers , Institute of Electronics and Information Engineers. 2021. pp. 1-4

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Han, SH, Rahim, T & Shin, SY 2021, Detection of faults in solar panels using deep learning. in Published in: 2021 International Conference on Electronics, Information, and Communication (ICEIC) : Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. pp. 1-4. ISBN: 9781728191614 This research was supported by the Grand Information Technology Research Center Program through the Institute of Information and Communications Technology and Planning and Evaluation (IITP) funded by the Ministry of Science and ICT (MSIT), Korea [grant number: IITP-2020-2020-0-01612]. Organising Body: Institute of Electrical and Electronics Engineers , Institute of Electronics and Information Engineers Organising Body: Institute of Electrical and Electronics Engineers , Institute of Electronics and Information Engineers. pp. 1-4. https://doi.org/10.1109/ICEIC51217.2021.9369744

Detection of faults in solar panels using deep learning. / Han, Seung Heon; Rahim, Tariq; Shin, Soo Young.
Published in: 2021 International Conference on Electronics, Information, and Communication (ICEIC) : Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. pp. 1-4. ISBN: 9781728191614 This research was supported by the Grand Information Technology Research Center Program through the Institute of Information and Communications Technology and Planning and Evaluation (IITP) funded by the Ministry of Science and ICT (MSIT), Korea [grant number: IITP-2020-2020-0-01612]. Organising Body: Institute of Electrical and Electronics Engineers , Institute of Electronics and Information Engineers Organising Body: Institute of Electrical and Electronics Engineers , Institute of Electronics and Information Engineers. 2021. p. 1-4.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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BT - Published in: 2021 International Conference on Electronics, Information, and Communication (ICEIC) : Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. pp. 1-4. ISBN: 9781728191614 This research was supported by the Grand Information Technology Research Center Program through the Institute of Information and Communications Technology and Planning and Evaluation (IITP) funded by the Ministry of Science and ICT (MSIT), Korea [grant number: IITP-2020-2020-0-01612]. Organising Body: Institute of Electrical and Electronics Engineers , Institute of Electronics and Information Engineers Organising Body: Institute of Electrical and Electronics Engineers , Institute of Electronics and Information Engineers

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Han SH, Rahim T, Shin SY. Detection of faults in solar panels using deep learning. In Published in: 2021 International Conference on Electronics, Information, and Communication (ICEIC) : Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. pp. 1-4. ISBN: 9781728191614 This research was supported by the Grand Information Technology Research Center Program through the Institute of Information and Communications Technology and Planning and Evaluation (IITP) funded by the Ministry of Science and ICT (MSIT), Korea [grant number: IITP-2020-2020-0-01612]. Organising Body: Institute of Electrical and Electronics Engineers , Institute of Electronics and Information Engineers Organising Body: Institute of Electrical and Electronics Engineers , Institute of Electronics and Information Engineers. 2021. p. 1-4 doi: 10.1109/ICEIC51217.2021.9369744