Artificial intelligence techniques for prediction of solar radiation data: a review

Artificial intelligence (AI) techniques are becoming useful as alternate approaches to conventional techniques. They have been used to solve complicated practical problems in various areas and are able to deal with non-linear problems. AI techniques have been applied for modelling, identification, optimisation, prediction, forecasting, and control of complex systems. Artificial neural networks have been used by the author in the field of solar energy for the estimation of solar radiation data. The main objective of this paper is to present an overview of the AI-techniques for prediction of solar radiation data. Published literature presented in this paper show the potential of AI as a design tool for the simulation of solar radiation data and also forecasting and modelling others meteorological data. The advantage of using an AI-based prediction of solar radiation is that it provides good estimation of data, especially in isolated areas, where the weather data are not available.

[1]  A. Zeroual,et al.  Prediction of daily global solar radiation using fuzzy systems , 2007 .

[2]  W. Chow,et al.  Solar radiation model , 2001 .

[3]  M. Bilgili,et al.  Application of artificial neural networks for the wind speed prediction of target station using reference stations data , 2007 .

[4]  J. C. McVeigh,et al.  Solar radiation model for hot dry arid climates , 1986 .

[5]  David B. Ampratwum,et al.  Estimation of solar radiation from the number of sunshine hours , 1999 .

[6]  Harold H. Szu,et al.  Neural network adaptive wavelets for signal representation and classification , 1992 .

[7]  K. Hollands,et al.  A probability density function for the clearness index, with applications , 1983 .

[8]  A. Tapia,et al.  Application of a control algorithm for wind speed prediction and active power generation , 2005 .

[9]  S. Iniyan,et al.  A review of energy models , 2006 .

[10]  Mohamed Mohandes,et al.  USE OF RADIAL BASIS FUNCTIONS FOR ESTIMATING MONTHLY MEAN DAILY SOLAR RADIATION , 2000 .

[11]  L. Zadeh.  A Fuzzy-Set-Theoretic Interpretation of Linguistic Hedges , 1972 .

[12]  Larry R. Medsker,et al.  Microcomputer applications of hybrid intelligent systems , 1996 .

[13]  A. Mellit,et al.  An ANFIS-based Forecasting for Solar Radiation Data from Sunshine Duration and Ambient Temperature , 2007, 2007 IEEE Power Engineering Society General Meeting.

[14]  G. Mihalakakou,et al.  The total solar radiation time series simulation in Athens, using neural networks , 2000 .

[15]  A. Maafi,et al.  A two-state Markovian model of global irradiation suitable for photovoltaic conversion , 1989 .

[16]  Soung Hie Kim,et al.  Artificial intelligence approaches to determination of CNC machining parameters in manufacturing: a review , 1998, Artif. Intell. Eng..

[17]  Ali Naci Celik,et al.  A critical review on the estimation of daily global solar radiation from sunshine duration , 2006 .

[18]  Paul Juell,et al.  Integration of adaptive machine learning and knowledge-based systems for routing and scheduling applications , 1991 .

[19]  N. Erdem Unal,et al.  Stochastic generation of hourly mean wind speed data , 2004 .

[20]  Z. Şen,et al.  Simple models of solar radiation data for northwestern part of Turkey , 2001 .

[21]  P. Bendt,et al.  The frequency distribution of daily insolation values , 1981 .

[22]  Zekai Şen,et al.  Spatial interpolation and estimation of solar irradiation by cumulative semivariograms , 2001 .

[23]  M. Collares-Pereira,et al.  TAG: A time-dependent, autoregressive, Gaussian model for generating synthetic hourly radiation , 1992 .

[24]  Shafiqur Rehman,et al.  Global solar radiation estimation , 1997 .

[25]  Jorge Aguilera,et al.  Recurrent Neural Supervised Models for Generating Solar Radiation Synthetic Series , 2001, J. Intell. Robotic Syst..

[26]  M. Chegaar,et al.  Global solar radiation estimation in Algeria , 2001 .

[27]  M. Collares-Pereira,et al.  Simple procedure for generating sequences of daily radiation values using a library of Markov transition matrices , 1988 .

[28]  Ajith Abraham,et al.  Intelligent weather monitoring systems using connectionist models , 2002, Neural Parallel Sci. Comput..

[29]  J. Olseth,et al.  A probability density function for daily insolation within the temperate storm belts , 1984 .

[30]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[31]  T. Muneer,et al.  Energy supply, its demand and security issues for developed and emerging economies , 2007 .

[32]  W. Rivera,et al.  Wind speed forecasting in the South Coast of Oaxaca, México , 2007 .

[33]  Saleh M. Al-Alawi,et al.  An ANN-based approach for predicting global radiation in locations with no direct measurement instrumentation , 1998 .

[34]  Shafiqur Rehman.  Empirical model development and comparison with existing correlations , 1999 .

[35]  Hamdy K. Elminir,et al.  Estimation of solar radiation components incident on Helwan site using neural networks , 2005 .

[36]  Shuanghua Cao,et al.  Forecast of solar irradiance using recurrent neural networks combined with wavelet analysis , 2005 .

[37]  Mohamed Mohandes,et al.  Estimation of global solar radiation using artificial neural networks , 1998 .

[38]  Soteris A. Kalogirou,et al.  Artificial Intelligence in Energy And Renewable Energy Systems , 2006 .

[39]  Simon Haykin,et al.  Neural Networks: A Comprehensive Foundation , 1998 .

[40]  Helen C. Power,et al.  Estimating clear-sky beam irradiation from sunshine duration , 2001 .

[41]  A. Celik,et al.  Long-term energy output estimation for photovoltaic energy systems using synthetic solar irradiation data , 2003 .

[42]  Athanasios Sfetsos,et al.  A comparison of various forecasting techniques applied to mean hourly wind speed time series , 2000 .

[43]  Soteris A. Kalogirou,et al.  An adaptive wavelet-network model for forecasting daily total solar-radiation , 2006 .

[44]  I. Dincer,et al.  A simple technique for estimating solar radiation parameters and its application for Gebze , 1996 .

[45]  Soteris A. Kalogirou,et al.  Methodology for predicting sequences of mean monthly clearness index and daily solar radiation data in remote areas: Application for sizing a stand-alone PV system , 2008 .

[46]  M. Ranjan,et al.  Solar resource estimation using artificial neural networks and comparison with other correlation models , 2003 .

[47]  Joseph A. Jervase,et al.  Solar radiation estimation using artificial neural networks , 2002 .

[48]  K. K. Gopinathan,et al.  Diffuse radiation models and monthly-average, daily, diffuse data for a wide latitude range , 1995 .

[49]  Shafiqur Rehman,et al.  Application of neural networks for the prediction of hourly mean surface temperatures in Saudi Arabia , 2002 .

[50]  V. Gómez,et al.  Fuzzy modeling of solar irradiance on inclined surfaces , 2003 .

[51]  Adnan Sözen,et al.  Forecasting based on neural network approach of solar potential in Turkey , 2005 .

[52]  J. M. Pinazo,et al.  Methodology for generating daily clearness index index values Kt starting from the monthly average daily value K̄t. Determining the daily sequence using stochastic models , 2003 .

[53]  Benjamin Y. H. Liu,et al.  The interrelationship and characteristic distribution of direct, diffuse and total solar radiation , 1960 .

[54]  Jorge Aguilera,et al.  Generation of hourly irradiation synthetic series using the neural network multilayer perceptron , 2002 .

[55]  Guo H. Huang,et al.  Application of soft computing models to hourly weather analysis in southern Saskatchewan, Canada , 2005, Eng. Appl. Artif. Intell..

[56]  Jorge Aguilera,et al.  An application of the multilayer perceptron: Solar radiation maps in Spain , 2005 .

[57]  Zekai Şen,et al.  Simple nonlinear solar irradiation estimation model , 2007 .

[58]  Soteris A. Kalogirou,et al.  Artificial neural networks in renewable energy systems applications: a review , 2001 .

[59]  B. Akinoglu,et al.  A further comparison and discussion of sunshine-based models to estimate global solar radiation , 1990 .

[60]  Jorge Aguilera,et al.  A Neural Network Approach for Generating Solar Irradiation Artificial Series , 1999, IWANN.

[61]  Umberto Amato,et al.  Markov processes and Fourier analysis as a tool to describe and simulate daily solar irradiance , 1986 .

[62]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[63]  V. Badescu.  Correlations to estimate monthly mean daily solar global irradiation: application to Romania , 1999 .

[64]  Kwok-wing Chau,et al.  A review on integration of artificial intelligence into water quality modelling. , 2006, Marine pollution bulletin.

[65]  Maxwell Stevenson,et al.  Modelling and forecasting temperature based weather derivatives , 2007 .

[66]  Adel Mellit,et al.  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 , 2005 .

[67]  L. Umanand,et al.  Estimation of global radiation using clearness index model for sizing photovoltaic system , 2005 .

[68]  S. Safi,et al.  Prediction of global daily solar radiation using higher order statistics , 2002 .

[69]  V. K. Nema,et al.  Estimation of hourly solar radiation for India , 1997 .

[70]  Abdeen Mustafa Omer,et al.  Compilation and evaluation of solar and wind energy resources in Sudan , 1997 .

[71]  E. V. Dyk,et al.  Development of energy model based on total daily irradiation and maximum ambient temperature , 2000 .

[72]  Ioannis B. Theocharis,et al.  Locally recurrent neural networks for wind speed prediction using spatial correlation , 2007, Inf. Sci..

[73]  Wim Sweldens,et al.  An Overview of Wavelet Based Multiresolution Analyses , 1994, SIAM Rev..

[74]  Soteris A. Kalogirou,et al.  Artificial intelligence techniques for photovoltaic applications: A review , 2008 .

[75]  K.G.T. Hollands,et al.  A time series model for Kt with application to global synthetic weather generation , 1988 .

[76]  Gabriel López,et al.  Selection of input parameters to model direct solar irradiance by using artificial neural networks , 2004 .

[77]  J. Mubiru,et al.  Estimation of monthly average daily global solar irradiation using artificial neural networks , 2008 .

[78]  Gilles Notton,et al.  Calculation on an hourly basis of solar diffuse irradiations from global data for horizontal surfaces in Ajaccio , 2004 .

[79]  F. S. Tymvios,et al.  Comparative study of Ångström's and artificial neural networks' methodologies in estimating global solar radiation , 2005 .

[80]  J.B. Theocharis,et al.  Long-term wind speed and power forecasting using local recurrent neural network models , 2006, IEEE Transactions on Energy Conversion.

[81]  Shuichi Hokoi,et al.  Statistical time series models of solar radiation and outdoor temperature — Identification of seasonal models by Kalman filter , 1990 .

[82]  A. Mellit,et al.  Artificial neural network model for prediction solar radiation data: application for sizing stand-alone photovoltaic power system , 2005, IEEE Power Engineering Society General Meeting, 2005.

[83]  L. Mora-López,et al.  Multiplicative ARMA models to generate hourly series of global irradiation , 1998 .

[84]  Georgios Dounias,et al.  Hybrid Computational Intelligence Schemes in Complex Domains: An Extended Review , 2002, SETN.

[85]  Christian A. Gueymard,et al.  Clear-sky solar luminous efficacy determination using artificial neural networks , 2007 .

[86]  Soteris A. Kalogirou,et al.  Artificial intelligence for the modeling and control of combustion processes: a review , 2003 .

[87]  Hamdy K. Elminir,et al.  Prediction of hourly and daily diffuse fraction using neural network, as compared to linear regression models , 2007 .

[88]  S. H. Cao,et al.  Study of forecasting solar irradiance using neural networks with preprocessing sample data by wavelet analysis , 2006 .

[89]  Edward M. Lungu,et al.  Stochastic models for sunshine duration and solar irradiation , 2002 .

[90]  Eleni Kaplani,et al.  A model to predict expected mean and stochastic hourly global solar radiation I(h;nj) values , 2007 .

[91]  Jesús Polo,et al.  Artificial intelligence techniques applied to hourly global irradiance estimation from satellite-derived cloud index , 2005 .

[92]  Adnan Sözen,et al.  Estimation of solar potential in Turkey by artificial neural networks using meteorological and geographical data , 2004 .

[93]  Joaquin Tovar-Pescador,et al.  A new simple parameterization of daily clear-sky global solar radiation including horizon effects , 2007 .

[94]  Lakhmi C. Jain,et al.  Fusion of Neural Networks, Fuzzy Sets, and Genetic Algorithms: Industrial Applications , 1998 .

[95]  Athanasios Sfetsos,et al.  Univariate and multivariate forecasting of hourly solar radiation with artificial intelligence techniques , 2000 .

[96]  S. Alam,et al.  Computation of beam solar radiation at normal incidence using artificial neural network , 2006 .

[97]  Zekai Şen,et al.  Fuzzy algorithm for estimation of solar irradiation from sunshine duration , 1998 .

[98]  Shuichi Hokoi,et al.  Stochastic models of solar radiation and outdoor temperature , 1990 .

[99]  Vincenzo Cena,et al.  Stochastic simulation of hourly global radiation sequences , 1979 .

[100]  A. Rabl,et al.  The average distribution of solar radiation-correlations between diffuse and hemispherical and between daily and hourly insolation values , 1979 .

[101]  Yoshishige Kemmoku,et al.  DAILY INSOLATION FORECASTING USING A MULTI-STAGE NEURAL NETWORK , 1999 .

[102]  A. K. Som,et al.  Correlation between estimated and measured hourly and daily solar fluxes over Bahrain , 1991 .

[103]  G. Hoogenboom,et al.  Development of a neural network model to predict daily solar radiation , 1994 .

[104]  T. O. Halawani,et al.  A neural networks approach for wind speed prediction , 1998 .

[105]  Adel Mellit,et al.  Radial Basis Function Network-based prediction of global solar radiation data: Application for sizing of a stand-alone photovoltaic system at Al-Madinah, Saudi Arabia , 2010 .

[106]  Ajith Abraham,et al.  Weather analysis using ensemble of connectionist learning paradigms , 2007, Appl. Soft Comput..

[107]  Michael Geiger,et al.  A Web service for controlling the quality of measurements of global solar irradiation , 2002 .

[108]  S. N. Alamri,et al.  ANN-based modelling and estimation of daily global solar radiation data: A case study , 2009 .

[109]  Amauri Pereira de Oliveira,et al.  Correlation models of diffuse solar-radiation applied to the city of São Paulo, Brazil , 2002 .

[110]  Ajith Abraham,et al.  Canadian Weather Analysis Using Connectionist Learning Paradigms , 2003 .

[111]  Nicola Pearsall,et al.  Stochastic modelling of solar irradiance on horizontal and vertical planes at a northerly location , 1999 .

[112]  M. Rubio,et al.  Empirical modeling of hourly direct irradiance by means of hourly global irradiance , 2000 .

[113]  Weerakorn Ongsakul,et al.  A simulation model for predicting the performance of a solar photovoltaic system with alternating current loads , 2002 .