文章基本信息

标题：Machine learning for predictive maintenance of photovoltaic panels: cleaning process application
本地全文：下载
作者：Mohamed Nabti ; Abdelmajid Bybi ; El Ayachi Chater 等
期刊名称：E3S Web of Conferences
印刷版ISSN：2267-1242
电子版ISSN：2267-1242
出版年度：2022
卷号：336
页码：1-5
DOI：10.1051/e3sconf/202233600021
语种：English
出版社：EDP Sciences
摘要：It is well known that the presence of dust on the surface of PV modules has a significant impact on their efficiency. Then, the consequent reduction in energy production has a non-negligible effect on the incomes. Although there is a growing need for accurate data showing where the solar arrays need maintenance in this rush for renewable energy. The purpose of this article is to introduce the research on existing photovoltaic panel maintenance solutions and introduce a new machine learning algorithm application to minimize the cleaning process of photovoltaic modules.