Maximum power output prediction of HCPV FLATCON® module using an ANN approach

Author:

Said Mohamed Islam,Steiner Marc,Siefer Gerald,Arab Amar Hadj

Funder

Federal Ministry for Economy and Energy

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference28 articles.

1. YieldOpt, a model to predict the power output and energy yield for concentrating photovoltaic modules;Steiner;Prog. Photovoltaics Res. Appl.,2015

2. Modelling the influence of atmospheric conditions on the outdoor real performance of a CPV (Concentrated photovoltaic) module;García-Domingo;Energy,2014

3. Performance analysis of models for calculating the maximum power of high concentrator photovoltaic modules;Alberto;IEEE J. Photovolt.,2015

4. Standard Test Method for Electrical Performance of Concentrator Terrestrial Photovoltaic Modules and Systems under Natural Sunlight;ASTM E2527-09,2009

5. Review of Techniques Based on Artificial Neural Networks for the Electrical Characterization of Concentrator Photovoltaic Technology;Almonacid,2016

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