This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Al-Alawi SM, Al-Hinai HA (1998) An ANN-based approach for predicting global radiation in Locations with no direct measurement instrumentation. Renew Energ 14:199–204
Ångström A (1924) Solar and terrestrial radiation. Q J Roy Meteor Soc 4:121–126
Bishop CM (1996) Neural networks for pattern recognition. Oxford University Press
Bremnes JB, Michaelides SC (2007) Probabilistic visibility forecasting using neural networks. Pure Appl Geophys 164: 1365–1381
Churchland PS, Sejnowski TJ (1988) Perspectives on Cognitive Neuroscience. Science 242: 741–745
Demuth H, Beale M (2004) Neural Network Toolbox User’ Guide-version 4. The Mathworks Inc
Dorvlo ASS, Jervase JA, Al-Lawati A (2002) Solar radiation estimation using artificial neural networks. Appl Energ 71:307–319
Elizondo D, Hoogenboom G, McClendon R (1994) Development of a neural network to predict daily solar radiation. Agr Forest Meteorol 71: 115–132
Elminir HK, Areed FF, Elsayed TS (2005). Estimation of solar radiation components incident on Helwan site using neural networks. Sol Energy 79: 270–279
Gardner MW, Dorling SR (1998) Artificial neural networks (the multilayer perceptron) - A review of applications in the atmospheric sciences. Atmos Environ 32:2627–2636
Hagan M, Menhaj M (1994) Training feed-forward networks with the Marquardt algorithm. IEEE T Neural Networ 5:989–993
Hagan M, Demuth H, Beale M (2006) Neural Network Design. Colorado University Bookstore, ISBN 0-9717321-0-8
Haykin S (1994) Neural Networks: A comprehensive foundation. MacMillan College Publishing, New York
Hontoria L, Aguilera J, Zufiria P (2002) Generation of hourly irradiation synthetic series using the neural network multilayer perceptron. Sol Energy 72:441–446
Hontoria L, Riesco J, Zufiria P, Aguilera J (1999) Improved generation of hourly solar irradiation artificial series using neural networks. In: Proceedings of Engineering Applications of Neural Networks, EANN99 Conference. Warsaw, Poland, 13–15 September 1999, pp 87–92
Hornik K, Stinchcombe M, White H (1989) Multilayer feedforward networks are universal approximators. Neural Networks 2-5:359–366
Hsieh WW, Tang B (1998) Applying neural network models to prediction and data analysis in meteorology and oceanography. B Am Meteorol Soc 79:1855–1870
Kalogirou S, Neocleous C, Michaelides S, Schizas C (1997) A time series reconstruction of precipitation records using artificial neural networks. In: Proceedings of EUFIT’97. Aachen, Germany, pp 2409–2413
Jacovides CP, Tymvios FS, Assimakopoulos VD, Kaltsounides NA (2007) The dependence of global and diffuse PAR radiation components on sky conditions at Athens, Greece. Agr Forest Meteorol 143:277–287
Jacovides CP, Tymvios FS, Papaioannou G, Assimakopoulos DN, Theofilou CM (2004) Ratio of PAR to broadband solar radiation measured in Cyprus, Agr Forest Meteorol 121:135–140
Kalogirou S, Michaelides S, Tymvios F (2002) Prediction of maximum solar radiation using artificial neural networks. In: Proceedings of the World Renewable Energy Congress VII (WREC 2002) on CD-ROM. Cologne, Germany
Kemmoku Y, Orita S, Nakagawa S, Sakakibara T (1999) Daily insolation forecasting using a multi-stage neural network. Sol Energy 66:193–199
Kohonen T (1995) Self-organising maps. Springer Verlag
Leshno M, Ya Lin V, Pinkus A, Schocken S (1993) Multi-layer feed-forward networks with a non-polynomial activation function can approximate any function. Neural Networks 6:861–867
Lòpez G, Batlles FJ, Tovar-Pescador J (2005) Selection of input parameters to model direct solar irradiance by using artificial neural networks. Energy 30:1675–1684
Lippmann RP (1987) An introduction to computing with neural nets. IEEE ASSP Magazine, April, pp 4–22
McClelland J, Rumelhart D, PDP Research Group (1986) Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Foundations 1 Cambridge, MA: MIT Press
McCulloch WS, Pitts WH (1943) A Logical Calculus of the Ideas Imminent in Nervous Activity. B Math Biophys 5:115–133
MacKay DJC (1994) Bayesian non-linear modelling for the energy prediction competition. ASHRAE Transactions 100:1053–1062
Mellit A, Benghanem M, Hadj Arab A, Guessoum A (2005) 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. Sol Energy 79:469–482
Mellit A, Benghanem M, Kalogirou SA (2006) An adaptive wavelet-network model for forecasting daily total solar radiation. Appl Energ 83:705–722
Michaelides SC, Evripidou P, Kallos G (1999) Monitoring and predicting Saharan desert dust transport in the eastern Mediterranean. Weather 54:359–365
Michaelides SC, Tymvios FS, Kalogirou S (2006) Artificial Neural Networks for Meteorological Variables Pertained to Energy and Renewable Energy Applications.[Chapter 2] : Artificial Intelligence in Energy and Renewable Energy Systems. Kalogirou, S. (Editor). Nova Science Publishers, Inc
Mihalakakou G, Santamouris M, Asimakopoulos DN (2000) The total solar radiation time series simulation in Athens, using neural networks. Theor Appl Climatol 66:185–197
Minsky M, Papert S (1969, reprint 1988) Perceptrons - Expanded Edition: An Introduction to Computational Geometry (Paperback). The MIT Press
Mohandes AM, Rehman S, Halawani TO (1998) Estimation of global solar radiation using artificial neural networks. Renew Energ 14:179–184
Mohandes M, Balghonaim A, Kassas M, Rehman S, Halawani TO (2000) Use of radial basis functions for estimating monthly mean daily solar radiation. Sol Energy 68:161–168
Neal RM (1996) Bayesian learning for neural networks. Lecture notes in Statistic. Springer-Verlag, New York
Principe JC, Euliano NR, Lefebvre CW (1999) Neural and Adaptive Systems. John Wiley & Sons
Rietveld MR (1978) A new method for estimating the regression coefficients in the formula relating solar radiation to sunshine. Agr Meteorol 19:243–352
Rosenblatt F (1958) The Perceptron: A probabilistic model for information storage and organization in the brain. Psychol Rev 65:386–408
Rumelhart DE, Hinton GE, Williams RJ (1986) Learning internal representation by error propagation. In: Rumelhart DE, McClelland JL (Eds). Parallel distributed processing: Explorations in the microstructure of cognition 1, MIT Press. Cambridge, MA, pp. 318–362
Samarasinghe S (2007) Neural Networks for Applied Sciences and Engineering. Auerbach Publications
Smith M (1996) Neural Networks for statistical modeling. International Thompson Computer Press, London UK
Santamouris M, Mihalakakou G, Psiloglou B, Eftaxias G, Asimakopoulos DN (1999) Modeling the global solar radiation on the earth surface using atmospheric deterministic and intelligent data driven techniques. J Climate 12:3105–3116
Sfetsos A, Coonick AH (2000) Univariate and multivariate forecasting of hourly solar radiation with artificial intelligence techniques. Sol Energy 68:169–178
Sözen A, Arcaklioglu E, Özalp M, Çaglar N (2005) Forecasting based on neural network approach of solar potential in Turkey. Renew Energ 30:1075–1090
Tambouratzis T, Gazela M (2002) The accurate estimation of meteorological profiles employing ANNs. Int J Neural Syst 12:1–19
Tymvios FS, Jacovides CP, Michaelides SC (2002) The total solar energy on a horizontal level with the use of artificial neural networks. In: Proceedings of the 6th Hellenic Conference of Meteorology, Climatology and Atmospheric Physics. Ioannina, 26-28 Sep., Greece, pp. 468–475
Tymvios FS, Jacovides CP, Michaelides SC, Scouteli C (2005) Comparative study of Angstrom’s and artificial neural networks’ methodologies in estimating global solar radiation. Sol Energy 70:752–762
Wassereman PD (1993) Advanced methods in neural networks. Van Nostrand Reinhold
Werbos PJ (1974) Beyond Regression: New Tools for Prediction and Analysis in the Behavioral Sciences. Ph.D. thesis, Harvard University
Williams D, Zazueta F (1996) Solar radiation estimation via neural network. In: Proceedings of the 6th International Conference on Computers in Agriculture. Cancun, Mexico, pp. 1143–1149
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Tymvios, F.S., Michaelides, S.C., Skouteli, C.S. (2008). Estimation of Surface Solar Radiation with Artificial Neural Networks. In: Badescu, V. (eds) Modeling Solar Radiation at the Earth’s Surface. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77455-6_9
Download citation
DOI: https://doi.org/10.1007/978-3-540-77455-6_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-77454-9
Online ISBN: 978-3-540-77455-6
eBook Packages: EngineeringEngineering (R0)