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Spatially transferable regional model for half-hourly values of diffuse solar radiation for general sky conditions based on perceptron artificial neural networks

Author

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  • Božnar, Marija Zlata
  • Grašič, Boštjan
  • Oliveira, Amauri Pereira de
  • Soares, Jacyra
  • Mlakar, Primož

Abstract

We describe a procedure to build an artificial neural network model of half-hourly values of diffuse solar radiation at the surface that can be repeated for other locations in a region. The model was developed for the location of the Portorož Airport (Slovenia) using data gathered by a standard automatic meteorological station and diffuse solar radiation measured over one year. The model was constructed based on a perceptron artificial neural network, which is a universal approximator for highly nonlinear systems. To date, models of this type have been restricted to a single chosen location. An inland location at Maribor was tested as a benchmark for comparison. It is shown that the Portorož model can be directly transferable without significant quality loss to the inland location of Maribor Airport, which has a different climate. Comparison to the Maribor benchmark model gives a correlation ranging from the initial value of 0.9030 to 0.9004, RMSE increases from 40.5 to 43.7 Wm−2, coefficient of variation of the RMSE increases from 38% to 41%; values for the initial location of Portorož are 0.9453, 28.7 Wm−2, 26.4%. To the best of our knowledge, this report describes the first such regional model that is spatially transferable.

Suggested Citation

  • Božnar, Marija Zlata & Grašič, Boštjan & Oliveira, Amauri Pereira de & Soares, Jacyra & Mlakar, Primož, 2017. "Spatially transferable regional model for half-hourly values of diffuse solar radiation for general sky conditions based on perceptron artificial neural networks," Renewable Energy, Elsevier, vol. 103(C), pages 794-810.
  • Handle: RePEc:eee:renene:v:103:y:2017:i:c:p:794-810
    DOI: 10.1016/j.renene.2016.11.013
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    4. Jamil, Basharat & Akhtar, Naiem, 2017. "Comparative analysis of diffuse solar radiation models based on sky-clearness index and sunshine period for humid-subtropical climatic region of India: A case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 329-355.
    5. Chen, Ji-Long & He, Lei & Chen, Qiao & Lv, Ming-Quan & Zhu, Hong-Lin & Wen, Zhao-Fei & Wu, Sheng-Jun, 2019. "Study of monthly mean daily diffuse and direct beam radiation estimation with MODIS atmospheric product," Renewable Energy, Elsevier, vol. 132(C), pages 221-232.
    6. Hassan, Muhammed A. & Akoush, Bassem M. & Abubakr, Mohamed & Campana, Pietro Elia & Khalil, Adel, 2021. "High-resolution estimates of diffuse fraction based on dynamic definitions of sky conditions," Renewable Energy, Elsevier, vol. 169(C), pages 641-659.

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