Soiling Detection for Photovoltaic Modules Based on an Intelligent Method with Image Processing

Po Ching Hwang; Cooper Cheng Yuan Ku; James Chi Chang Chan

doi:10.1109/ICCE-Taiwan49838.2020.9258175

Soiling Detection for Photovoltaic Modules Based on an Intelligent Method with Image Processing

Po Ching Hwang, Cooper Cheng Yuan Ku, James Chi Chang Chan

資訊管理研究所

研究成果: Conference contribution › 同行評審

8 引文斯高帕斯（Scopus）

摘要

The solar energy has grown significantly worldwide over the past few years. Therefore, maintenance of photovoltaic (PV) modules becomes a very important issue. In order to reduce the power loss caused by soiling deposits on the surface of PV modules, we propose an intelligent method to detect soiling situation using the techniques of artificial intelligence (AI) and image processing. This approach can assist operators in determining the schedule of cleaning plan for PV modules, thus reduces the labor and time cost of maintenance of solar plants.

原文	English
主出版物標題	2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020
發行者	Institute of Electrical and Electronics Engineers Inc.
ISBN（電子）	9781728173993
DOIs	https://doi.org/10.1109/ICCE-Taiwan49838.2020.9258175
出版狀態	Published - 28 9月 2020
事件	7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020 - Taoyuan, 台灣持續時間: 28 9月 2020 → 30 9月 2020

出版系列

名字	2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020

Conference

Conference	7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020
國家/地區	台灣
城市	Taoyuan
期間	28/09/20 → 30/09/20

UN SDG

此研究成果有助於以下永續發展目標

存取文件

10.1109/ICCE-Taiwan49838.2020.9258175

其它文件與鏈接

Link to publication in Scopus

引用此

Hwang, P. C., Ku, C. C. Y., & Chan, J. C. C. (2020). Soiling Detection for Photovoltaic Modules Based on an Intelligent Method with Image Processing. 於 2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020 文章 9258175 (2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-Taiwan49838.2020.9258175

Hwang, Po Ching ; Ku, Cooper Cheng Yuan ; Chan, James Chi Chang. / Soiling Detection for Photovoltaic Modules Based on an Intelligent Method with Image Processing. 2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020).

@inproceedings{119f618f03ab41779d9d3009572ac270,

title = "Soiling Detection for Photovoltaic Modules Based on an Intelligent Method with Image Processing",

abstract = "The solar energy has grown significantly worldwide over the past few years. Therefore, maintenance of photovoltaic (PV) modules becomes a very important issue. In order to reduce the power loss caused by soiling deposits on the surface of PV modules, we propose an intelligent method to detect soiling situation using the techniques of artificial intelligence (AI) and image processing. This approach can assist operators in determining the schedule of cleaning plan for PV modules, thus reduces the labor and time cost of maintenance of solar plants.",

author = "Hwang, {Po Ching} and Ku, {Cooper Cheng Yuan} and Chan, {James Chi Chang}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020 ; Conference date: 28-09-2020 Through 30-09-2020",

year = "2020",

month = sep,

day = "28",

doi = "10.1109/ICCE-Taiwan49838.2020.9258175",

language = "English",

series = "2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020",

address = "美國",

}

Hwang, PC, Ku, CCY & Chan, JCC 2020, Soiling Detection for Photovoltaic Modules Based on an Intelligent Method with Image Processing. 於 2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020., 9258175, 2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020, Institute of Electrical and Electronics Engineers Inc., 7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020, Taoyuan, 台灣, 28/09/20. https://doi.org/10.1109/ICCE-Taiwan49838.2020.9258175

Soiling Detection for Photovoltaic Modules Based on an Intelligent Method with Image Processing. / Hwang, Po Ching; Ku, Cooper Cheng Yuan; Chan, James Chi Chang.
2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9258175 (2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020).

研究成果: Conference contribution › 同行評審

TY - GEN

T1 - Soiling Detection for Photovoltaic Modules Based on an Intelligent Method with Image Processing

AU - Hwang, Po Ching

AU - Ku, Cooper Cheng Yuan

AU - Chan, James Chi Chang

PY - 2020/9/28

Y1 - 2020/9/28

N2 - The solar energy has grown significantly worldwide over the past few years. Therefore, maintenance of photovoltaic (PV) modules becomes a very important issue. In order to reduce the power loss caused by soiling deposits on the surface of PV modules, we propose an intelligent method to detect soiling situation using the techniques of artificial intelligence (AI) and image processing. This approach can assist operators in determining the schedule of cleaning plan for PV modules, thus reduces the labor and time cost of maintenance of solar plants.

AB - The solar energy has grown significantly worldwide over the past few years. Therefore, maintenance of photovoltaic (PV) modules becomes a very important issue. In order to reduce the power loss caused by soiling deposits on the surface of PV modules, we propose an intelligent method to detect soiling situation using the techniques of artificial intelligence (AI) and image processing. This approach can assist operators in determining the schedule of cleaning plan for PV modules, thus reduces the labor and time cost of maintenance of solar plants.

UR - http://www.scopus.com/inward/record.url?scp=85098455827&partnerID=8YFLogxK

U2 - 10.1109/ICCE-Taiwan49838.2020.9258175

DO - 10.1109/ICCE-Taiwan49838.2020.9258175

M3 - Conference contribution

AN - SCOPUS:85098455827

T3 - 2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020

BT - 2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020

Y2 - 28 September 2020 through 30 September 2020

ER -

Hwang PC, Ku CCY, Chan JCC. Soiling Detection for Photovoltaic Modules Based on an Intelligent Method with Image Processing. 於 2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9258175. (2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020). doi: 10.1109/ICCE-Taiwan49838.2020.9258175

Soiling Detection for Photovoltaic Modules Based on an Intelligent Method with Image Processing

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