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
N1 - Publisher Copyright:
© 2020 IEEE.
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 -
