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Intelligent solar module: Application of AI to improve failure rate due to Climate change

Authors
Park, JunhyunYoon, GuwonCho, KeonheeLee, TacklimChoi, Myeong-InPark, Sehyun
Issue Date
Oct-2022
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
Artificial Intelligence; Photovoltaic Generation Forecasting; Solar Energy
Citation
2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022
Journal Title
2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/67109
DOI
10.1109/ICCE-Asia57006.2022.9954638
ISSN
0000-0000
Abstract
This paper proposes a method to apply artific ial intelligence to prevent the failure of photovol taic modules and the degradation of energy effic iency. Intelligent solar modules can maintain m aximum energy efficiency while responding app ropriately to climate changes that can cause sol ar modules to fail such as heat waves, heavy sno w, and strong winds. Consumers can efficiently manage with monitoring applications and stably supply solar energy through these systems.
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