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Quality control of global solar radiation using sunshine duration hours

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  • Moradi, Isaac

Abstract

The aim of this study was to develop a new and automatic method for controlling the quality of daily global solar radiation, Gd, using sunshine duration hours. The new method has three levels of tests: first, Gd is compared against daily extraterrestrial radiation that is received on a horizontal surface (0.03×God⩽Gd

Suggested Citation

  • Moradi, Isaac, 2009. "Quality control of global solar radiation using sunshine duration hours," Energy, Elsevier, vol. 34(1), pages 1-6.
    • Handle: RePEc:eee:energy:v:34:y:2009:i:1:p:1-6
    DOI: 10.1016/j.energy.2008.09.006
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    1. Younes, S. & Claywell, R. & Muneer, T., 2005. "Quality control of solar radiation data: Present status and proposed new approaches," Energy, Elsevier, vol. 30(9), pages 1533-1549.
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    2. Behrang, M.A. & Assareh, E. & Noghrehabadi, A.R. & Ghanbarzadeh, A., 2011. "New sunshine-based models for predicting global solar radiation using PSO (particle swarm optimization) technique," Energy, Elsevier, vol. 36(5), pages 3036-3049.
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    6. Ali Sabziparvar & Roya Mousavi & Safar Marofi & Niaz Ebrahimipak & Majid Heidari, 2013. "An Improved Estimation of the Angstrom–Prescott Radiation Coefficients for the FAO56 Penman–Monteith Evapotranspiration Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(8), pages 2839-2854, June.
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    9. Benghanem, Mohamed & Mellit, Adel, 2010. "Radial Basis Function Network-based prediction of global solar radiation data: Application for sizing of a stand-alone photovoltaic system at Al-Madinah, Saudi Arabia," Energy, Elsevier, vol. 35(9), pages 3751-3762.
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    11. Liu, Yanfeng & Zhou, Yong & Chen, Yaowen & Wang, Dengjia & Wang, Yingying & Zhu, Ying, 2020. "Comparison of support vector machine and copula-based nonlinear quantile regression for estimating the daily diffuse solar radiation: A case study in China," Renewable Energy, Elsevier, vol. 146(C), pages 1101-1112.
    12. Lu, Ning & Qin, Jun & Yang, Kun & Sun, Jiulin, 2011. "A simple and efficient algorithm to estimate daily global solar radiation from geostationary satellite data," Energy, Elsevier, vol. 36(5), pages 3179-3188.
    13. Moreno-Tejera, S. & Ramírez-Santigosa, L. & Silva-Pérez, M.A., 2015. "A proposed methodology for quick assessment of timestamp and quality control results of solar radiation data," Renewable Energy, Elsevier, vol. 78(C), pages 531-537.

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