A Model for Hourly Solar Radiation Data Generation from Daily Solar Radiation Data Using a Generalized Regression Artificial Neural Network

Article English OPEN
Khatib, Tamer ; Elmenreich, Wilfried (2015)
  • Publisher: Hindawi Publishing Corporation
  • Journal: International Journal of Photoenergy (issn: 1110-662X, eissn: 1687-529X)
  • Related identifiers: doi: 10.1155/2015/968024
  • Subject: TJ807-830 | Renewable energy sources | Article Subject

This paper presents a model for predicting hourly solar radiation data using daily solar radiation averages. The proposed model is a generalized regression artificial neural network. This model has three inputs, namely, mean daily solar radiation, hour angle, and sunset hour angle. The output layer has one node which is mean hourly solar radiation. The training and development of the proposed model are done using MATLAB and 43800 records of hourly global solar radiation. The results show that the proposed model has better prediction accuracy compared to some empirical and statistical models. Two error statistics are used in this research to evaluate the proposed model, namely, mean absolute percentage error and root mean square error. These values for the proposed model are 11.8% and −3.1%, respectively. Finally, the proposed model shows better ability in overcoming the sophistic nature of the solar radiation data.
  • References (25)
    25 references, page 1 of 3

    Khatib, T., Mohamed, A., Sopian, K.. A review of solar energy modeling techniques. Renewable and Sustainable Energy Reviews. 2012; 16 (5): 2864-2869

    Mellit, A., Kalogirou, S. A.. Artificial intelligence techniques for photovoltaic applications: a review. Progress in Energy and Combustion Science. 2008; 34 (5): 574-632

    Erdinc, O., Uzunoglu, M.. Optimum design of hybrid renewable energy systems: overview of different approaches. Renewable and Sustainable Energy Reviews. 2012; 16 (3): 1412-1425

    Liu, B. Y. H., Jordan, R. C.. The interrelationship and characteristic distribution of direct, diffuse and total solar radiation. Solar Energy. 1960; 4 (3): 1-19

    Collares-Pereira, M., Rabl, A.. The average distribution of solar radiation-correlations between diffuse and hemispherical and between daily and hourly insolation values. Solar Energy. 1979; 22 (2): 155-164

    Garg, H. P., Garg, S. N.. Improved correlation of daily and hourly diffuse radiation with global radiation for Indian stations. Solar & Wind Technology. 1987; 4 (2): 113-126

    Jain, P. C.. Estimation of monthly average hourly global and diffuse irradiation. Solar and Wind Technology. 1988; 5 (1): 7-14

    Baig, A., Akhter, P., Mufti, A.. A novel approach to estimate the clear day global radiation. Renewable Energy. 1991; 1 (1): 119-123

    Kaplanis, S. N.. New methodologies to estimate the hourly global solar radiation: comparisons with existing models. Renewable Energy. 2006; 31 (6): 781-790

    Kaplanis, S., Kaplani, E.. A model to predict expected mean and stochastic hourly global solar radiation I(h;nj) values. Renewable Energy. 2007; 32 (8): 1414-1425

  • Metrics
    views in OpenAIRE
    views in local repository
    downloads in local repository
Share - Bookmark