Photovoltaic Panel Efficiency Estimation with Artificial Neural Networks: Samples of Adiyaman, Malatya, and Sanliurfa

Photovoltaic Panel Efficiency Estimation with Artificial Neural Networks: Samples of Adiyaman, Malatya, and Sanliurfa

The amount of electric energy produced by photovoltaic panels depends on air temperature, humidity rate, wind velocity, photovoltaic module temperature, and particularly solar radiation. Being aware of the behaviour patterns of the panels to be used in project and planning works regarding photovolta...

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Bibliographic Details
Main Authors:	Yasin Icel, Mehmet Salih Mamis, Abdulcelil Bugutekin, Mehmet Ismail Gursoy
Format:	Article
Language:	English
Published:	Hindawi Limited 2019-01-01
Series:	International Journal of Photoenergy
Online Access:	http://dx.doi.org/10.1155/2019/6289021

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