Reference health
Comparison of four heuristic regression techniques in solar radiation modeling: Kriging method vs RSM, MARS and M5 model tree
1 of 56 checkable references need attention · checked 2026-07-23
At the dated check, the references listed below either did not resolve in Crossref or DataCite, or carried a retraction notice. Each one is shown with the registry record that put it there.
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References needing attention
marked retracted — notice via Crossref, record curated by Retraction Watch10.1007/s11069-015-1641-x
RETRACTED ARTICLE: Potential of support vector regression for solar radiation prediction in Nigeria
The 55 checked references that resolve
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Solar energy potential assessment of western Himalayan Indian state of Himachal Pradesh using J48 algorithm of WEKA in ANN based prediction model
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Estimation of Solar Radiation by Artificial Networks: East Coast Malaysia
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Estimation of Monthly Mean Daily Global Solar Radiation over Bangkok, Thailand Using Artificial Neural Networks
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A Novel Approach for Solar Radiation Prediction Using Artificial Neural Networks
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The optimized artificial neural network model with Levenberg–Marquardt algorithm for global solar radiation estimation in Eastern Mediterranean Region of Turkey
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Prediction of global horizontal solar irradiance in Zimbabwe using artificial neural networks
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Artificial neural network optimisation for monthly average daily global solar radiation prediction
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Solar radiation prediction using Artificial Neural Network techniques: A review
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Evaluating the effect of particulate matter pollution on estimation of daily global solar radiation using artificial neural network modeling based on meteorological data
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Solar radiation prediction using different techniques: model evaluation and comparison
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Daily total global solar radiation modeling from several meteorological data
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Comparison of Gene Expression Programming with neuro-fuzzy and neural network computing techniques in estimating daily incoming solar radiation in the Basque Country (Northern Spain)
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Modelling solar radiation reached to the Earth using ANFIS, NN-ARX, and empirical models (Case studies: Zahedan and Bojnurd stations)
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Comparison of regression and artificial neural network models for estimation of global solar radiations
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Comparison of artificial intelligence techniques via empirical equations for prediction of solar radiation
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Comparison of artificial intelligence methods and empirical equations to estimate daily solar radiation
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Prediction of global solar radiation using support vector machines
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Evaluation of support vector machine for estimation of solar radiation from measured meteorological variables
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Assessing the potential of support vector machine for estimating daily solar radiation using sunshine duration
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Potential of radial basis function based support vector regression for global solar radiation prediction
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Estimating the diffuse solar radiation using a coupled support vector machine–wavelet transform model
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Empirical models for estimating global solar radiation: A review and case study
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Empirical models for estimating daily global solar radiation in Yucatán Peninsula, Mexico
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Prediction of monthly global solar radiation using adaptive neuro fuzzy inference system (ANFIS) technique over the State of Tamilnadu (India): a comparative study
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Potential of adaptive neuro-fuzzy system for prediction of daily global solar radiation by day of the year
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Determining the most important variables for diffuse solar radiation prediction using adaptive neuro-fuzzy methodology; case study: City of Kerman, Iran
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Adaptive neuro-fuzzy approach for solar radiation prediction in Nigeria
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A comparative study between fuzzy linear regression and support vector regression for global solar radiation prediction in Iran
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ANFIS, SVM and ANN soft-computing techniques to estimate daily global solar radiation in a warm sub-humid environment
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Prediction of solar radiation in China using different adaptive neuro‐fuzzy methods and <scp>M5</scp> model tree
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Using measured daily meteorological parameters to predict daily solar radiation
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Small-scale solar radiation forecasting using ARMA and nonlinear autoregressive neural network models
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A support vector machine–firefly algorithm-based model for global solar radiation prediction
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Estimation of the daily global solar radiation based on Box–Jenkins and ANN models: A combined approach
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A comparative evaluation for identifying the suitability of extreme learning machine to predict horizontal global solar radiation
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Evaluation and performance comparison of different models for the estimation of solar radiation
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Prediction and application of solar radiation with soft computing over traditional and conventional approach – A comprehensive review
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Analysis of precipitation extremes based on satellite and high-resolution gridded data set over Mediterranean basin
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AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation
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Optimized River Stream-Flow Forecasting Model Utilizing High-Order Response Surface Method
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Multivariate adaptive regression splines for analysis of geotechnical engineering systems
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M5 model tree and Monte Carlo simulation for efficient structural reliability analysis
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Estimation of Mean Annual Flood in Indian Catchments Using Backpropagation Neural Network and M5 Model Tree
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A nonlinear mathematical modeling of daily pan evaporation based on conjugate gradient method
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Streamflow Forecasting and Estimation Using Least Square Support Vector Regression and Adaptive Neuro-Fuzzy Embedded Fuzzy c-means Clustering
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River flow forecasting and estimation using different artificial neural network techniques
The 4 references without a DOI — listed, not checked
no DOI — not checkedSupervised artificial neural network-based method for conversion of solar radiation data (case study: algeria)
no DOI — not checkedSensoy S, Demircan M, Ulupinar Y, Balta İ. Climate of turkey. Climate of Turkey Turkish State Meteorological Service Websit; 2007. 〈http://wwwmgmgovtr/files/iklim/turkiye_iklimipdf〉.
no DOI — not checkedModeling daily dissolved oxygen concentration using modified response surface method and artificial neural network: a comparative study
no DOI — not checked10.1016/j.rser.2017.07.054_bib51
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