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Open AccessArticle

Prediction of Solar Irradiance Based on Artificial Neural Networks

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Electrical Department, Basra Oil Training Institute, Basra 61001, Iraq
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Department of Communication Engineering, Iraq University College, Basra 61001, Iraq
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Department of Mechatronics Engineering, Obuda University, 1117 Budapest, Hungary
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Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, 1117 Budapest, Hungary
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School of Electrical Engineering and Computer Science, Faculty of Engineering and Informatics, University of Bradford, Bradford BD7 1DP, UK
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Department of Electrical Engineering, University of Misan, Misan 62001, Iraq
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Author to whom correspondence should be addressed.
Inventions 2019, 4(3), 45; https://doi.org/10.3390/inventions4030045
Received: 28 June 2019 / Revised: 25 July 2019 / Accepted: 8 August 2019 / Published: 10 August 2019
Prediction of solar irradiance plays an essential role in many energy systems. The objective of this paper is to present a low-cost solar irradiance meter based on artificial neural networks (ANN). A photovoltaic (PV) mathematical model of 50 watts and 36 cells was used to extract the short-circuit current and the open-circuit voltage of the PV module. The obtained data was used to train the ANN to predict solar irradiance for horizontal surfaces. The strategy was to measure the open-circuit voltage and the short-circuit current of the PV module and then feed it to the ANN as inputs to get the irradiance. The experimental and simulation results showed that the proposed method could be utilized to achieve the value of solar irradiance with acceptable approximation. As a result, this method presents a low-cost instrument that can be used instead of an expensive pyranometer. View Full-Text
Keywords: artificial neural networks; energy; photovoltaic modeling; prediction of solar irradiance; pyranometer artificial neural networks; energy; photovoltaic modeling; prediction of solar irradiance; pyranometer
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Hameed, W.I.; Sawadi, B.A.; Al-Kamil, S.J.; Al-Radhi, M.S.; Al-Yasir, Y.I.A.; Saleh, A.L.; Abd-Alhameed, R.A. Prediction of Solar Irradiance Based on Artificial Neural Networks. Inventions 2019, 4, 45.

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