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References
Aguiar RJ, Collares-Pereira M, Conde JP (1988) Simple procedure for generating sequences of daily radiation values using a library of Markov Transition Matrix. Solar Energy 40(3):269–279.
Aguiar RJ, Collares-Pereira M (1992) Tag: A time-dependent, autoregressive, gaussian model for generating synthetic hourly radiation. Solar Energy 49(3):167–174.
Bendt P, Collares-Pereira M, Rabl A (1981) The frequency distribution of daily insolation values. Solar Energy 27:1–5.
Box, GEP, Jenkins GM (1976) Time series analysis forecasting and control. USA: Prentice-Hall.
Brinkworth FJ (1977) Autocorrelation and stochastic modelling of insolation series. Solar Energy 19:343–347.
Forbus KD (1984) Qualitative process theory. Artificial Intelligence 24:85–168.
Kemmoku Y, Orita S, Nakagawa S and Sakakibara T (1999). Daily insolation forecasting using a multi-stage neural network. Solar Energy 66(3):193–199.
Kleer J, Brown JS (1984) A qualitative physics based on confluences. Artificial Intelligence 24:7–83.
Krog A, Mian SI and Haussler D (1993) A hidden Markov model that finds genes in E.coli DNA. Technical report UCSC-CRL-93-16, University of California at Santa-Cruz.
Kuipers B (1984) Commonsense reasoning about causality deriving behavior from structure. Artificial Intelligence 24:169–203.
Manzanares Badía, Juan Manuel (2006) Herramienta para el análisis multivariante utilizando técnicas de aprendizaje automático y modelos estadísticos. Proyecto fin de carrera. E.T.S.I. Informática. Universidad de Málaga.
Mohandes M, Balghonaim M, Kassas M, Rehman S and Halawani TO (2000) Use of radial basis functions for estimating monthly mean daily solar radiation. Solar Energy 68(2):161.
Mohandes M, Rehman S and Halawani TO (1998) Estimation of global solar radiation using artificial neural networks. Renewable Energy 14(1–4):179–184.
Mora-López L, Fortes I, Morales-Bueno R and Triguero F (2000) Dynamic discretization of continuous values from time series. Lecture Notes in Artificial Intelligence 1810:280–291.
Mora-López L, Morales-Bueno R, Sidrach-de-Cardona M, Triguero F (2002) Probabilistic Finite Automata and Randomness in Nature: a New Approach in the Modelling and Prediction of Climatic Parameters. Proceeding of the International Environmental Modelling and Software Society Congress. Lugano, Suiza, June 2002.
Mora-López L, Sidrach-de-Cardona M (1997) Characterization and simulation of hourly exposure series of global radiation. Solar Energy 60(5):257–270.
Nadas A (1984). Estimation of probabilities in the language model of the IBM speech recognition system. IEEE Trans. on ASSP 32(4):859–861.
Rabiner LR (1994) A tutorial on hidden Markov models and selected applications in speech recognition. Proceedings of the Seventh Annual Workshop on Computational Learning Theory, 1994.
Rissanen J (1983) A universal data compression system. IEEE Trans. Inform. Theory 29(5):656–664.
Rohatgi VK (1976) An Introduction to Probability Theory and Mathematical Statistics. John Wiley & Sons, USA.
Ron D, Singer Y and Tishby N (1998) On the learnability and usage of acyclic probabilistic finite Automata. Journal of Computer and System Sciences 56:133–152.
Ron D, Singer Y and Tishby N (1994) Learning probabilistic automata with variable memory length. Proceedings of the Seventh Annual Workshop on Computational Learning Theory.
Sfetsos A, Coonick AH (2000) Univariate and multivariate forecasting of hourly solar radiation with artificial intelligence techniques. Solar Energy 68(2):169–178.
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Mora-López, L. (2008). A new Procedure to Generate Solar Radiation Time Series from achine Learning Theory. 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_12
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DOI: https://doi.org/10.1007/978-3-540-77455-6_12
Publisher Name: Springer, Berlin, Heidelberg
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