The prediction of photovoltaic module temperature with artificial neural networks

被引：0
|
作者：
Ceylan, Ilhan [1 ]
Erkaymaz, Okan [2 ]
Gedik, Engin [1 ]
Gurel, Ali Etem [3 ]
机构：
[1] Energy Systems Engineering, Technology Faculty, Karabuk University, Karabuk, Turkey
[2] Department of Biomedical Engineering, Engineering Faculty, Bulent Ecevit University, 67100 Zonguldak, Turkey
[3] Department of Electrical and Energy, Duzce Vocational School, Duzce University, Duzce, Turkey
来源：
Case Studies in Thermal Engineering | 2014年 / 3卷
关键词：
Ambient air temperature - Electrical efficiency - Experimental system - Module temperature - Outside-air temperature - Photovoltaic modules - Photovoltaic power - Power products;
D O I：
10.1016/j.csite.2014.02.001
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：11 / 20
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