A state of art review on estimation of solar radiation with various models

[1]  Tian Peng,et al.  An evolutionary robust solar radiation prediction model based on WT-CEEMDAN and IASO-optimized outlier robust extreme learning machine , 2022, Applied Energy.

[2]  Z. Yaseen,et al.  Development of a hybrid computational intelligent model for daily global solar radiation prediction , 2022, Expert Syst. Appl..

[3]  Shanlei Sun,et al.  Modeling daily global solar radiation using only temperature data: Past, development, and future , 2022, Renewable and Sustainable Energy Reviews.

[4]  R. Deo,et al.  Efficient daily solar radiation prediction with deep learning 4-phase convolutional neural network, dual stage stacked regression and support vector machine CNN-REGST hybrid model , 2022, Sustainable Materials and Technologies.

[5]  Q. Wei,et al.  Performance of crystalline Si solar cells and module on temperature and illumination intensity , 2022, Materials Today: Proceedings.

[6]  M. Chaichan,et al.  The Influence of Temperature and Irradiance on Performance of the photovoltaic panel in the Middle of Iraq , 2022, International Journal of Renewable Energy Development.

[7]  O. Oyewola,et al.  Global solar radiation predictions in Fiji Islands based on empirical models , 2022, Alexandria Engineering Journal.

[8]  A. Siddique,et al.  Neural networks based multivariate time series forecasting of solar radiation using meteorological data of different cities of Bangladesh , 2022, Results in Engineering.

[9]  W. Agyare,et al.  Evaluation of global solar radiation, cloudiness index and sky view factor as potential indicators of Ghana's solar energy resource , 2021, Scientific African.

[10]  Musaed Alrashidi,et al.  Global solar radiation prediction: Application of novel hybrid data-driven model , 2021, Appl. Soft Comput..

[11]  R. Sathyamurthy,et al.  Prediction of hourly solar radiation in Tamil Nadu using ANN model with different learning algorithms , 2021, Energy Reports.

[12]  Yongzheng Zhang,et al.  A Structured Phase Change Material with Controllable Thermoconductive Highways Enables Unparalleled Electricity via Solar‐Thermal‐Electric Conversion , 2021, Advanced Functional Materials.

[13]  M. Louzazni,et al.  Comparative optimization of global solar radiation forecasting using machine learning and time series models , 2021, Environmental Science and Pollution Research.

[14]  Amir Hossein Mirzabe,et al.  Assessment and categorization of empirical models for estimating monthly, daily, and hourly diffuse solar radiation: A case study of Iran , 2021 .

[15]  Ö. Ballı Estimating Global Solar Radiation from Empirical Models: An Application , 2021 .

[16]  A. García-Marín,et al.  Assessing new intra-daily temperature-based machine learning models to outperform solar radiation predictions in different conditions , 2021 .

[17]  Yu Feng,et al.  High-resolution assessment of solar radiation and energy potential in China , 2021, Energy Conversion and Management.

[18]  Z. Duan,et al.  Application of ERA-Interim, empirical models, and an artificial intelligence-based model for estimating daily solar radiation , 2021 .

[19]  H. Al-Najjar,et al.  A Comparative Assessment of Time Series Forecasting Using NARX and SARIMA to Predict Hourly, Daily, and Monthly Global Solar Radiation Based on Short-Term Dataset , 2021, Arabian Journal for Science and Engineering.

[20]  Chu Zhang,et al.  An integrated framework of Bi-directional long-short term memory (BiLSTM) based on sine cosine algorithm for hourly solar radiation forecasting , 2021 .

[21]  Ömer Ali Karaman,et al.  Estimation of solar radiation using modern methods , 2021 .

[22]  B. Mohammadi,et al.  Performance Analysis of Daily Global Solar Radiation Models in Peru by Regression Analysis , 2021, Atmosphere.

[23]  Abdellah Mechaqrane,et al.  Estimation of daily global solar radiation using empirical and machine-learning methods: A case study of five Moroccan locations , 2021, Sustainable Materials and Technologies.

[24]  Ariyo Oluwasanmi,et al.  Comparison of machine learning and deep learning algorithms for hourly global/diffuse solar radiation predictions , 2021, International Journal of Energy Research.

[25]  Sheik Mujabar,et al.  Empirical models for estimating the global solar radiation of Jubail Industrial City, the Kingdom of Saudi Arabia , 2021, SN Applied Sciences.

[26]  A. Gürel,et al.  Assessment of machine learning, time series, response surface methodology and empirical models in prediction of global solar radiation , 2020 .

[27]  Somayeh Naserpour,et al.  Calibration and evaluation of sunshine-based empirical models for estimating daily solar radiation in Iran , 2020 .

[28]  D. Li,et al.  Solar radiation zoning and daily global radiation models for regions with only surface meteorological measurements in China , 2020 .

[29]  Shamshad Ahmad,et al.  Spatial forecasting of solar radiation using ARIMA model , 2020 .

[30]  Ali N. Hasan,et al.  Estimation of Hourly Global Solar Radiation Using Deep Learning Algorithms , 2020, 2020 11th International Renewable Energy Congress (IREC).

[31]  Mohamed Louzazni,et al.  One month-ahead forecasting of mean daily global solar radiation using time series models , 2020 .

[32]  I. Ceylan,et al.  Performance assessment of a V-trough photovoltaic system and prediction of power output with different machine learning algorithms , 2020 .

[33]  J. Catalão,et al.  A minutely solar irradiance forecasting method based on real-time sky image-irradiance mapping model , 2020, Energy Conversion and Management.

[34]  Fuxin Niu,et al.  Solar radiation prediction using recurrent neural network and artificial neural network: A case study with comparisons , 2020 .

[35]  İlker Mert,et al.  A comparative study of estimating solar radiation using machine learning approaches: DL, SMGRT, and ANFIS , 2020, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects.

[36]  Farid Melgani,et al.  A comprehensive review of hybrid models for solar radiation forecasting , 2020 .

[37]  Babak Mohammadi,et al.  Estimation of solar radiation using neighboring stations through hybrid support vector regression boosted by Krill Herd algorithm , 2020, Arabian Journal of Geosciences.

[38]  Lifeng Wu,et al.  Predicting daily diffuse horizontal solar radiation in various climatic regions of China using support vector machine and tree-based soft computing models with local and extrinsic climatic data , 2020 .

[39]  Adel Mellit,et al.  Hourly global solar forecasting models based on a supervised machine learning algorithm and time series principle , 2020 .

[40]  Ammar Necaibia,et al.  A prediction models for estimating global solar radiation and evaluation meteorological effect on solar radiation potential under several weather conditions at the surface of Adrar environment , 2020 .

[41]  Eiji Shintaku,et al.  Estimation of the Monthly Global, Direct, and Diffuse Solar Radiation in Japan Using Artificial Neural Network , 2020 .

[42]  M. Guermoui,et al.  New temperature-based predicting model for global solar radiation using support vector regression , 2020 .

[43]  Yu Feng,et al.  Evaluation of temperature-based machine learning and empirical models for predicting daily global solar radiation , 2019, Energy Conversion and Management.

[44]  V. K. Giri,et al.  Solar radiation forecasting using MARS, CART, M5, and random forest model: A case study for India , 2019, Heliyon.

[45]  Rahul G. Makade,et al.  Prediction of global solar radiation using a single empirical model for diversified locations across India , 2019, Urban Climate.

[46]  S. Harrouni,et al.  Forecasting global solar irradiance for various resolutions using time series models - case study: Algeria , 2019, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects.

[47]  J. Sanz-Justo,et al.  Machine learning regressors for solar radiation estimation from satellite data , 2019, Solar Energy.

[48]  Xin Ma,et al.  Evaluation and development of empirical models for estimating daily and monthly mean daily diffuse horizontal solar radiation for different climatic regions of China , 2019, Renewable and Sustainable Energy Reviews.

[49]  Alexis Kwasinski,et al.  Solar Irradiance Forecast Using Naïve Bayes Classifier Based on Publicly Available Weather Forecasting Variables , 2019, Energies.

[50]  Akin Özçift,et al.  A New Approach for Prediction of Solar Radiation with Using Ensemble Learning Algorithm , 2019, Arabian Journal for Science and Engineering.

[51]  G. Notton,et al.  Solar radiation forecasting using artificial neural network and random forest methods: Application to normal beam, horizontal diffuse and global components , 2019, Renewable Energy.

[52]  Saurabh Bhardwaj,et al.  Estimation of solar radiation using support vector regression , 2019, Journal of Information and Optimization Sciences.

[53]  Mohammed H. Alsharif,et al.  Time Series ARIMA Model for Prediction of Daily and Monthly Average Global Solar Radiation: The Case Study of Seoul, South Korea , 2019, Symmetry.

[54]  Lifeng Wu,et al.  Empirical and machine learning models for predicting daily global solar radiation from sunshine duration: A review and case study in China , 2019, Renewable and Sustainable Energy Reviews.

[55]  E. Bellos,et al.  Development of empirical models for estimation of global solar radiation exergy in India , 2019, Journal of Cleaner Production.

[56]  Farid Melgani,et al.  Multi-step ahead forecasting of daily global and direct solar radiation: A review and case study of Ghardaia region , 2018, Journal of Cleaner Production.

[57]  K. Kaba,et al.  Estimation of daily global solar radiation using deep learning model , 2018, Energy.

[58]  B. Mohammadi,et al.  A comparison between the application of empirical and ANN methods for estimation of daily global solar radiation in Iran , 2018, Theoretical and Applied Climatology.

[59]  Mawloud Guermoui,et al.  Multi-step-ahead forecasting of daily solar radiation components in the Saharan climate , 2018, International Journal of Ambient Energy.

[60]  Junliang Fan,et al.  Comparison of Support Vector Machine and Extreme Gradient Boosting for predicting daily global solar radiation using temperature and precipitation in humid subtropical climates: A case study in China , 2018 .

[61]  Saad Mekhilef,et al.  Performance evaluation of hybrid adaptive neuro-fuzzy inference system models for predicting monthly global solar radiation , 2018 .

[62]  Ricardo Nicolau Nassar Koury,et al.  Prediction of hourly solar radiation in Abu Musa Island using machine learning algorithms , 2018 .

[63]  Lifeng Wu,et al.  Evaluation and development of temperature-based empirical models for estimating daily global solar radiation in humid regions , 2018 .

[64]  Amandeep Sharma,et al.  Forecasting daily global solar irradiance generation using machine learning , 2018 .

[65]  Haiyan Lu,et al.  Research and application of a combined model based on frequent pattern growth algorithm and multi-objective optimization for solar radiation forecasting , 2017 .

[66]  A. Selvakumar,et al.  Assessment of SVM, empirical and ANN based solar radiation prediction models with most influencing input parameters , 2017, Renewable Energy.

[67]  Pengcheng Jiao,et al.  Next generation prediction model for daily solar radiation on horizontal surface using a hybrid neural network and simulated annealing method , 2017 .

[68]  S. Kaseb,et al.  Potential of four different machine-learning algorithms in modeling daily global solar radiation , 2017 .

[69]  R. Hacıoğlu PREDICTION OF SOLAR RADIATION BASED ON MACHINE LEARNING METHODS , 2017 .

[70]  Yu Feng,et al.  Comparison of artificial intelligence and empirical models for estimation of daily diffuse solar radiation in North China Plain , 2017 .

[71]  Tamer Khatib,et al.  A novel hybrid model for hourly global solar radiation prediction using random forests technique and firefly algorithm , 2017 .

[72]  He Jiang,et al.  A multi-stage intelligent approach based on an ensemble of two-way interaction model for forecasting the global horizontal radiation of India , 2017 .

[73]  Haydar Demirhan,et al.  A fuzzy regression with support vector machine approach to the estimation of horizontal global solar radiation , 2017 .

[74]  Allou Samé,et al.  Hourly Solar Irradiance Forecasting Based on Machine Learning Models , 2016, 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA).

[75]  Vahid Nourani,et al.  Estimation of daily global solar radiation using wavelet regression, ANN, GEP and empirical models: A comparative study of selected temperature-based approaches , 2016 .

[76]  John Boland,et al.  Short term solar radiation forecasting: Island versus continental sites , 2016 .

[77]  He Jiang,et al.  A nonlinear support vector machine model with hard penalty function based on glowworm swarm optimization for forecasting daily global solar radiation , 2016 .

[78]  O. Kisi,et al.  Solar radiation prediction using different techniques: model evaluation and comparison , 2016 .

[79]  Ali Salman,et al.  Time series analysis of Bahrain's first hybrid renewable energy system , 2016 .

[80]  Youcef Messlem,et al.  Estimation of the daily global solar radiation based on Box–Jenkins and ANN models: A combined approach , 2016 .

[81]  Khalil Benmouiza,et al.  Small-scale solar radiation forecasting using ARMA and nonlinear autoregressive neural network models , 2016, Theoretical and Applied Climatology.

[82]  Por Lip Yee,et al.  Estimating the diffuse solar radiation using a coupled support vector machine–wavelet transform model , 2016 .

[83]  Laurel Saito,et al.  Empirical models for estimating daily global solar radiation in Yucatán Peninsula, Mexico , 2016 .

[84]  P. Guo,et al.  Impact of diurnal temperature range on mortality in a high plateau area in southwest China: A time series analysis. , 2015, The Science of the total environment.

[85]  Amrita Das,et al.  A new approach to estimate the spatial distribution of solar radiation using topographic factor and sunshine duration in South Korea , 2015 .

[86]  He Jiang,et al.  Intelligent optimization models based on hard-ridge penalty and RBF for forecasting global solar radiation , 2015 .

[87]  Kasra Mohammadi,et al.  A support vector machine–firefly algorithm-based model for global solar radiation prediction , 2015 .

[88]  Thomas Reindl,et al.  A novel hybrid approach based on self-organizing maps, support vector regression and particle swarm optimization to forecast solar irradiance , 2015 .

[89]  Jianzhou Wang,et al.  Forecasting solar radiation using an optimized hybrid model by Cuckoo Search algorithm , 2015 .

[90]  Sancho Salcedo-Sanz,et al.  Daily global solar radiation prediction based on a hybrid Coral Reefs Optimization – Extreme Learning Machine approach , 2014 .

[91]  Cyril Voyant,et al.  Twenty four hours ahead global irradiation forecasting using multi‐layer perceptron , 2014 .

[92]  Yu Zhang,et al.  Prediction of solar radiation with genetic approach combing multi-model framework , 2014 .

[93]  Ali Etem Gürel,et al.  Cooling of a photovoltaic module with temperature controlled solar collector , 2014 .

[94]  Adel Mellit,et al.  New combined models for estimating daily global solar radiation from measured air temperature in semi-arid climates: Application in Ghardaïa, Algeria , 2014 .

[95]  Leonard K. Amekudzi,et al.  Empirical Models for Estimating Global Solar Radiation over the Ashanti Region of Ghana , 2014 .

[96]  R. Inman,et al.  Solar forecasting methods for renewable energy integration , 2013 .

[97]  M. Diagne,et al.  Review of solar irradiance forecasting methods and a proposition for small-scale insular grids , 2013 .

[98]  O. S. Sastry,et al.  Estimation of solar radiation using a combination of Hidden Markov Model and generalized Fuzzy model , 2013 .

[99]  F. Besharat,et al.  Empirical models for estimating global solar radiation: A review and case study , 2013 .

[100]  Yılmaz Kaya,et al.  Comparison of ANN and MLR models for estimating solar radiation in Turkey using NOAA/AVHRR data , 2013 .

[101]  P. Jirutitijaroen,et al.  Hourly solar irradiance time series forecasting using cloud cover index , 2012 .

[102]  Javier E. Contreras-Reyes,et al.  Statistical analysis of autoregressive fractionally integrated moving average models in R , 2012, Comput. Stat..

[103]  Kamaruzzaman Sopian,et al.  A review of solar energy modeling techniques , 2012 .

[104]  Cyril Voyant,et al.  Numerical Weather Prediction (NWP) and hybrid ARMA/ANN model to predict global radiation , 2012, ArXiv.

[105]  A. Massi Pavan,et al.  An adaptive model for predicting of global, direct and diffuse hourly solar irradiance , 2010 .

[106]  Zhendong Niu,et al.  Time Series Analysis of NASDAQ Composite Based on Seasonal ARIMA Model , 2009, 2009 International Conference on Management and Service Science.

[107]  O. Kärner,et al.  ARIMA representation for daily solar irradiance and surface air temperature time series , 2009 .

[108]  Gordon Reikard Predicting solar radiation at high resolutions: A comparison of time series forecasts , 2009 .

[109]  Yingni Jiang,et al.  Prediction of monthly mean daily diffuse solar radiation using artificial neural networks and comparison with other empirical models , 2008 .

[110]  A. Angstrom Solar and terrestrial radiation. Report to the international commission for solar research on actinometric investigations of solar and atmospheric radiation , 2007 .

[111]  Abdulnasser Hatemi-J,et al.  Multivariate tests for autocorrelation in the stable and unstable VAR models , 2004 .

[112]  D. K. Butt Solar and Terrestrial Radiation , 1978 .

[113]  Ali N. Hasan,et al.  Forecasting Hourly Solar Radiation Using Artificial Intelligence Techniques , 2021, IEEE Canadian Journal of Electrical and Computer Engineering.

[114]  Ali Etem Gürel,et al.  Prediction of daily global solar radiation using different machine learning algorithms: Evaluation and comparison , 2021, Renewable and Sustainable Energy Reviews.

[115]  Sinan Q. Salih,et al.  Global solar radiation prediction over North Dakota using air temperature : Development of novel hybrid intelligence model , 2021 .

[116]  Mawloud Guermoui,et al.  Support vector regression methodology for estimating global solar radiation in Algeria , 2018 .

[117]  Hilmi Cenk Bayrakçi,et al.  The development of empirical models for estimating global solar radiation on horizontal surface: A case study , 2018 .

[118]  Ozgur Kisi,et al.  Modeling solar radiation of Mediterranean region in Turkey by using fuzzy genetic approach , 2014 .

[119]  Detlev Heinemann,et al.  Prediction of Solar Irradiance and Photovoltaic Power , 2012 .

[120]  Cyril Voyant,et al.  Optimization of an artificial neural network dedicated to the multivariate forecasting of daily glob , 2011 .