Solar irradiation forecasting using RBF networks for PV systems with storage

2012 IEEE International Conference on Industrial Technology, ICIT 2012, Proceedings

Volumn , Issue , 2012, Pages 699-704

  Ciabattoni, Lucio ^a   Ippoliti, Gianluca ^a   Longhi, Sauro ^a   Cavalletti, Matteo ^b   Rocchetti, Marco ^b  

^a UNIVERSITÀ POLITECNICA DELLE MARCHE   (Italy)

^b Energy Resources SPA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

BATTERY PACK; ENERGY SERVICES; HORIZONTAL PLANES; PHOTOVOLTAIC; POWER PRODUCTION; PV PLANTS; PV SYSTEM; RADIAL BASIS FUNCTION NEURAL NETWORKS; SOLAR IRRADIATION;

ENERGY RESOURCES; SOLAR RADIATION;

RADIAL BASIS FUNCTION NETWORKS;

EID: 84863895007     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIT.2012.6210020     Document Type: Conference Paper

References (31)

1. K. J. Hunt, D. Sbarbaro, R. Zbikowski, R J. Gawthrop, Neural networks for control systems - a survey, Automatica 28 (6) (1992) 1083-1112.
2. Olavi Karner, ARIMA representation for daily solar irradiance and surface air temperature time series, Journal of Atmospheric and Solar-Terrestrial Physics, Volume 71, Issues 8-9, June 2009, Pages 841-847.
3. M. Cavalletti, G. Ippoliti, S. Longhi, Lyapunov-based switching control using neural networks for a remotely operated vehicle, Int. J. of Contr. 80 (7) (2007) 1077-1091.
4. D'Amico, A., Ippoliti, G., Longhi, S., A multiple models approach for adaptation and learning in mobile robots control, Journal of Intelligent and Robotic Systems 47(1), 3-31, 2006.
5. Hush, D. R., Home, B. G., Progress in supervised neural networks, IEEE Signal Processing Magazine 10, 8-39, 1993.
6. Antonini, P., Ippoliti, G., Longhi, S., Learning control of mobile robots using a multiprocessor system, Control Engineering Practice 14(11), 1279-1295, 2006.
7. Unar, M. N., Murray-Smith, D. J., Automatic steering of ships using neural network, International Journal of Adaptive Control and Signal Processing 13, 203-218, 1999.
8. S. Chen, C. F N. Cowan, P. M. Grant, Orthogonal least squares learning algorithm for radial basis function networks, IEEE Trans. Neural Networks 2 (2) (1991) 302-309.
9. L. Yingwei, N. Sundararajan, P. Saratchandran, Performance evaluation of a sequential minimal radial basis function (RBF) neural network learning algorithm, IEEE Trans. Neural Networks 9 (2) (1998) 308318.
10. M. Corradini, G. Ippoliti, S. Longhi, Neural networks based control of mobile robots: development and experimental validation, J. Robot. Syst. 20 (10) (2003) 587-600.
11. T. Poggio, F Girosi, Networks for approximation and learning, Proc. IEEE 78 (9) (1990) 1481-1497.
12. J. Platt, A resource allocating network for function interpolation, Neural Computation 3 (1991) 213-225.
13. N. Sundararajan, R Saratchandran, Y. Li, Fully tuned radial basis function neural networks for flight control, Kluver Academic, London, Great Britain, 2002.
14. v. Kadirkamanathan, M. Niranjan, A function estimation approach to sequential learning with neural network, Neural Computation 5 (1993) 954-975.
15. G. W Irwin, K Warwick and K J. Hunt," Neural networks: an introduction," 'Neural Network Applications in Control', The Institution of Electrical Engineers, London, Great Britain, pp. 1-16, 1995.
16. Warwick, K, Karnbhampati, C., Parks, P. and Mason, J," Dynamic systems in neural networks" Springer-Verlag. London. Great Britain. pp. 27-41., pp. 27-41., 1996.
17. Lange, M.,"A mature market? The history of short term prediction services" POW'WOW Best Practice Workshop. Delft. The Netherland, 2006.
18. Lange, M., Focken, U.,"Physical approach to short term wind power prediction" New York: Springer, 2005.
19. Li, J., Song, AG.,"Comparison of clear-day solar radiation model in Beijing to ASHRAE model" Journal of Capital Normal University, vol. 19, No. 1, pp 35-38, 1998.
20. Ben Salah, C. Ben Mabrouk, A. Ouali, M., Wavelet autoregressive forecasting of climatic parameters for photovoltaic systems, Systems, Signals and Devices (SSD), 2011 8th International Multi-Conference on, 22-25 March 2011.
21. AW Jayawardena, DAK Fernando, M C Zhou, Comparison of Multilayer Perceptron and radial Basis Function networks as tools for flood forecasting, North American Water and Environment Congress and Destructive Water, 1996.
22. Ren, MJ., Wright, J.A.,Adaptative diurnal prediction of ambient dry-bulb temperaature and solar radiation, HVAC and Research, Vol. 8, No. 4, 2002, pp. 383-401.
23. Dorvlo, AS.S., Jervase, J.A, Ali, A.L.,"Solar radiation estimation using artificial neural networks" Applied Energy,II: 307-319, 2002.
24. Gonzlez-Longatt, FM.,"Model of Photovoltaic Module in Matlab" II CIBELEC,2005.
25. Lorenz, E., Hurka, J., Heinemann, D., Beyer, H.G., "Irradiance Forecasting for the Power Prediction of Grid-Connected Photovoltaic Systems," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.2, no.1, pp.2-10, March 2009.
26. L. Ljung, System identification, theory for the user, Information and System Sciences Series, Prentice Hall PTR, New Jersey, USA, 1999.
27. Ross, R.G., Flat-Plate Photovoltaic Array Design Optimization, Conference Record, 14th IEEE Photovoltaic Specialists Conference, San Diego, USA, pp. 1126-1132, 1980.
28. (2011) Renergies Italia, [Online] Available: http://www.renergiesitalia. it/
29. (2011) SMA Solar Technology, [Online] Available: http://www.sma-italia. com/it/prodotti/inverter-solari/sunny-boy.html
30. (2011) Siel Energy and Safety, [Online] Available: http://www.sielups. com/INVERTER/Fotovoltaico/SIAC-Soleil-10-TL.aspx
31. (2011) Winston Battery, [Online] Available: http://en.winston-battery. com/