A novel 2-D model approach for the prediction of hourly solar radiation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4507 LNCS, Issue , 2007, Pages 749-756

  Onur Hocaoglu F ^a   Nezih Gerek, O ^a   Kurban, Mehmet ^a  

^a ANADOLU UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

DATA ACQUISITION; FEEDFORWARD NEURAL NETWORKS; IMAGE PROCESSING; MEAN SQUARE ERROR; SOLAR RADIATION; WEATHER FORECASTING;

IMAGE PREDICTION; LINEAR FILTERS; RASTER SCAN; ROOT MEAN SQUARE ERROR (RMSE);

TWO DIMENSIONAL;

EID: 38049125961     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (6)

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2. Amato, U., Andretta, A., Bartolli, B., Coluzzi Cuomo, B.V., Fontana, F., Serio, C.: Markov Process and Fourier Analysis as a Tool to Describe and Simulate Solar Irradiation. Solar Energy 37, 197-201 (1986)
3. Mellit, A., Benghanem, M., Hadj Arab, A., Guessoum, A.: A Simplified Model for Generating Sequences of Global Solar Radiation Data for Isolated Sites: Using Artificial Neural Network and a Library of Markov Transition Matrices Approach. Solar Energy 79, 469-482 (2005)
4. Aguiar, J., Collares-Perrira, M., Conde, S.P.: Simple Procedure for Generating of Daily Radiation Values Using Library of Markov Transition Matrices. Solar Energy 49, 229-279 (1988)
5. Gonzalez, R.C., Woods, R.E.: Digital Image Processing, pp. 461-463. Prentice-Hall, Englewood Cliffs (2002)
6. Hagan, M.T., Menhaj, M.B.: Training Feedforward Networks with the Marquardt Algorithm. IEEE Transactions On Neural Networks 5, 989-993 (1994)