A comparative evaluation for identifying the suitability of extreme learning machine to predict horizontal global solar radiation
暂无分享,去创建一个
Shahaboddin Shamshirband | Dalibor Petković | Ali Mostafaeipour | Kasra Mohammadi | Por Lip Yee | Kasra Mohammadi | Shahaboddin Shamshirband | A. Mostafaeipour | D. Petković
[1] Jilong Chen,et al. Evaluation of support vector machine for estimation of solar radiation from measured meteorological variables , 2014, Theoretical and Applied Climatology.
[2] Kasra Mohammadi,et al. Establishing a diffuse solar radiation model for determining the optimum tilt angle of solar surfaces in Tabass, Iran , 2014 .
[3] Muammer Ozgoren,et al. Estimation of global solar radiation using ANN over Turkey , 2012, Expert Syst. Appl..
[4] Hongbin Liu,et al. General models for estimating daily global solar radiation for different solar radiation zones in mainland China , 2013 .
[5] Narasimhan Sundararajan,et al. A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks , 2006, IEEE Transactions on Neural Networks.
[6] C. W. Tong,et al. RETRACTED ARTICLE: Application of extreme learning machine for estimation of wind speed distribution , 2016, Climate Dynamics.
[7] W. Beckman,et al. Solar Engineering of Thermal Processes , 1985 .
[8] A. Angstroem. Solar and terrestrial radiation , 1924 .
[9] Ali Mostafaeipour,et al. Historical background, productivity and technical issues of qanats , 2010 .
[10] Ram Pal Singh,et al. Application of Extreme Learning Machine Method for Time Series Analysis , 2007 .
[11] R. Swartman,et al. Solar radiation estimates from common parameters , 1967 .
[12] F. A. Ogbu,et al. The importance of maximum air temperature in the parameterisation of solar radiation in Nigeria , 1995 .
[13] Kasra Mohammadi,et al. Establishing new empirical models for predicting monthly mean horizontal diffuse solar radiation in city of Isfahan, Iran , 2014 .
[14] Douglas A. G. Vieira,et al. Extreme learning machine with parallel layer perceptrons , 2015, Neurocomputing.
[15] A. Sayigh,et al. Estimation of the total solar radiation from meteorological data , 1977 .
[16] Yousef A.G. Abdalla,et al. New Correlations of Global Solar Radiation with Meteorological Parameters for Bahrain , 1994 .
[17] Amaury Lendasse,et al. Extreme learning machine towards dynamic model hypothesis in fish ethology research , 2014, Neurocomputing.
[18] Hong Yan,et al. Fast prediction of protein-protein interaction sites based on Extreme Learning Machines , 2014, Neurocomputing.
[19] Shervin Motamedi,et al. A hybrid SVM-FFA method for prediction of monthly mean global solar radiation , 2015, Theoretical and Applied Climatology.
[20] S. Kalogirou. Solar Energy Engineering: Processes and Systems , 2009 .
[21] Tariq Muneer,et al. Neural network based method for conversion of solar radiation data , 2013 .
[22] S. Chandel,et al. Selection of most relevant input parameters using WEKA for artificial neural network based solar radiation prediction models , 2014 .
[23] F. J. Newland,et al. A study of solar radiation models for the coastal region of South China , 1989 .
[24] Ali Mostafaeipour,et al. Effect of Short-Term and Long-Term Persistence on Identification of Temporal Trends , 2014 .
[25] A. Mellit,et al. A simplified calibrated model for estimating daily global solar radiation in Madinah, Saudi Arabia , 2014, Theoretical and Applied Climatology.
[26] Pak Kin Wong,et al. Modeling and optimization of biodiesel engine performance using kernel-based extreme learning machine and cuckoo search , 2015 .
[27] Lahouari Ghouti,et al. Mobility Prediction in Mobile Ad Hoc Networks Using Extreme Learning Machines , 2013, ANT/SEIT.
[28] Majid Jamil,et al. Fuzzy logic based modeling and estimation of global solar energy using meteorological parameters , 2014 .
[29] Guang-Bin Huang,et al. Extreme learning machine: a new learning scheme of feedforward neural networks , 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).
[30] Mohd Zamri Ibrahim,et al. Estimation of global solar irradiation on horizontal and inclined surfaces based on the horizontal measurements , 2011 .
[31] T. R. Sumithira,et al. Prediction of monthly global solar radiation using adaptive neuro fuzzy inference system (ANFIS) technique over the State of Tamilnadu (India): a comparative study , 2012 .
[32] Anne-Johan Annema,et al. Precision requirements for single-layer feedforward neural networks , 1994, Proceedings of the Fourth International Conference on Microelectronics for Neural Networks and Fuzzy Systems.
[33] V. Bahel,et al. A correlation for estimation of global solar radiation , 1987 .
[34] Amaury Lendasse,et al. Bankruptcy prediction using Extreme Learning Machine and financial expertise , 2014, Neurocomputing.
[35] Chee Kheong Siew,et al. Universal Approximation using Incremental Constructive Feedforward Networks with Random Hidden Nodes , 2006, IEEE Transactions on Neural Networks.
[36] Dalibor Petković,et al. Potential of adaptive neuro-fuzzy system for prediction of daily global solar radiation by day of the year , 2015 .
[37] 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.
[38] S. N. Alamri,et al. ANN-based modelling and estimation of daily global solar radiation data: A case study , 2009 .
[39] A. A. Trabea,et al. Correlation of global solar radiation with meteorological parameters over Egypt , 2000 .
[40] W. A. Rahoma,et al. Application of Neuro-Fuzzy Techniques for Solar Radiation , 2011 .
[41] Pei Li,et al. Forecasting Model of Coal Mine Water Inrush Based on Extreme Learning Machine , 2013 .
[42] Jun Li,et al. ${{\rm E}^{2}}{\rm LMs}$ : Ensemble Extreme Learning Machines for Hyperspectral Image Classification , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[43] Ahmet Koca,et al. Estimation of solar radiation using artificial neural networks with different input parameters for Mediterranean region of Anatolia in Turkey , 2011, Expert Syst. Appl..
[44] Shashi Mathur,et al. Particle swarm optimization trained neural network for aquifer parameter estimation , 2012 .
[45] Richard G. Allen,et al. Self-Calibrating Method for Estimating Solar Radiation from Air Temperature , 1997 .
[46] Shahaboddin Shamshirband,et al. Predicting the wind power density based upon extreme learning machine , 2015 .
[47] M. Şahin,et al. Comparison of modelling ANN and ELM to estimate solar radiation over Turkey using NOAA satellite data , 2013 .
[48] E. Tulcan-Paulescu,et al. Fuzzy modelling of solar irradiation using air temperature data , 2008 .
[49] Kasra Mohammadi,et al. Prediction of daily global solar radiation by day of the year in four cities located in the sunny regions of Iran , 2013 .
[50] Kasra Mohammadi,et al. Assessment of solar and wind energy potentials for three free economic and industrial zones of Iran , 2014 .
[51] Shengjun Wu,et al. Assessing the transferability of support vector machine model for estimation of global solar radiation from air temperature , 2015 .
[52] F. S. Tymvios,et al. Comparative study of Ångström's and artificial neural networks' methodologies in estimating global solar radiation , 2005 .
[53] A. Ghanbarzadeh,et al. New sunshine-based models for predicting global solar radiation using PSO (particle swarm optimizati , 2011 .
[54] Gilles Notton,et al. Estimation of 5-min time-step data of tilted solar global irradiation using ANN (Artificial Neural Network) model , 2014 .
[55] S. Rehman,et al. Artificial neural network estimation of global solar radiation using air temperature and relative humidity , 2008 .
[56] K. Bakirci. Correlations for estimation of daily global solar radiation with hours of bright sunshine in Turkey , 2009 .
[57] Chee Kheong Siew,et al. Extreme learning machine: Theory and applications , 2006, Neurocomputing.
[58] Guang-Bin Huang,et al. Trends in extreme learning machines: A review , 2015, Neural Networks.
[59] Sancho Salcedo-Sanz,et al. Direct Solar Radiation Prediction Based on Soft-Computing Algorithms Including Novel Predictive Atmospheric Variables , 2013, IDEAL.
[60] A. Angstrom. Solar and terrestrial radiation. Report to the international commission for solar research on actinometric investigations of solar and atmospheric radiation , 2007 .
[61] Ali Mostafaeipour,et al. Economic feasibility of developing wind turbines in Aligoodarz, Iran , 2013 .
[62] K. K. Gopinathan,et al. A general formula for computing the coefficients of the correlation connecting global solar radiation to sunshine duration , 1988 .
[63] A. Khogali,et al. Global and diffuse solar irradiance in Yemen (Y.A.R.) , 1983 .
[64] Shahaboddin Shamshirband,et al. Temperature-based estimation of global solar radiation using soft computing methodologies , 2015, Theoretical and Applied Climatology.
[65] Gabriel López,et al. Daily solar irradiation estimation over a mountainous area using artificial neural networks , 2008 .
[66] Min Han,et al. Online sequential extreme learning machine with kernels for nonstationary time series prediction , 2014, Neurocomputing.