A hybrid computational approach to estimate solar global radiation: An empirical evidence from Iran
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @Article{Mostafavi:2013:Energy,
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author = "Elham Sadat Mostafavi and Sara Saeidi Ramiyani and
Rahim Sarvar and Hashem Izadi Moud and
Seyyed Mohammad Mousavi",
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title = "A hybrid computational approach to estimate solar
global radiation: An empirical evidence from Iran",
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journal = "Energy",
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volume = "49",
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month = "1 " # jan,
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pages = "204--210",
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year = "2013",
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keywords = "genetic algorithms, genetic programming, Solar global
radiation, Hybrid method, Simulated annealing,
Prediction",
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ISSN = "0360-5442",
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DOI = "doi:10.1016/j.energy.2012.11.023",
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URL = "http://www.sciencedirect.com/science/article/pii/S0360544212008845",
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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 generalisation 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.",
- }
Genetic Programming entries for
Elham Sadat Mostafavi
Sara Saeidi Ramiyani
Rahim Sarvar
Hashem Izadi Moud
Seyyed Mohammad Mousavi
Citations