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A hybrid computational approach to estimate solar global radiation: An empirical evidence from Iran

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  • Mostafavi, Elham Sadat
  • Ramiyani, Sara Saeidi
  • Sarvar, Rahim
  • Moud, Hashem Izadi
  • Mousavi, Seyyed Mohammad

Abstract

This paper presents an innovative hybrid approach for the estimation of the solar global radiation. New prediction equations were developed for the global radiation using an integrated search method of genetic programming (GP) and simulated annealing (SA), called GP/SA. The solar radiation was formulated in terms of several climatological and meteorological parameters. Comprehensive databases containing monthly data collected for 6 years in two cities of Iran were used to develop GP/SA-based models. Separate models were established for each city. The generalization of the models was verified using a separate testing database. A sensitivity analysis was conducted to investigate the contribution of the parameters affecting the solar radiation. The derived models make accurate predictions of the solar global radiation and notably outperform the existing models.

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  • Mostafavi, Elham Sadat & Ramiyani, Sara Saeidi & Sarvar, Rahim & Moud, Hashem Izadi & Mousavi, Seyyed Mohammad, 2013. "A hybrid computational approach to estimate solar global radiation: An empirical evidence from Iran," Energy, Elsevier, vol. 49(C), pages 204-210.
    • Handle: RePEc:eee:energy:v:49:y:2013:i:c:p:204-210
    DOI: 10.1016/j.energy.2012.11.023
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