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. 2023 Jan 21;9(2):e13167. doi: 10.1016/j.heliyon.2023.e13167

Table 1.

A summary of the studies regarding the prediction of solar radiation data using empirical models.

Location Model Input Parameters Output Parameter Data scale Statistical Benchmarks Key Findings References
Ashanti, Owabide (Ghana) Angstrom-Prescott and Hargreaves and Samani Sunshine hours and air temperature Global solar radiation Five months from 2011: April, May, June, October, November MBE, MPE, and RMSE Proposed models using sunshine hours and air temperature compatible with measured solar radiation value. [26]
Ghardaïa, Algeria 6 combined new models Minimum and maximum temperature Global solar radiation 365 days of 2006 RMSE, MBE, MAE, and MPE GSR predicted well in all models, and MPE values found ±10%. [27]
Yucatán Peninsula, Mexico A novel empirical model (M5) Average relative humidity, minimum temperature, maximum temperature, and transformed rainfall Daily horizontal global solar radiation From 6 different stations on different dates between 2000 and 2014. MPE, MAPE, RMSE, MBE, MABE, and R2 The proposed model (M5) was calibrated using 12 existing models. If rainfall and relative humidity data are available, this model can be used. [28]
India 32 empirical models in 4 different categories Relative sunshine period, and clearness index Global solar energy 1986–2000 MARE, MAE, RRMSE, RMSE, U95, t-stats, MPE, MBE, erMAX, r, and GPI The power model with a clearness index shows great performance. [29]
Tropical regions of China 6 temperature-based models (P1–P6) Temperature, relative air humidity, vapor pressure deficit, transformed precipitation, and precipitation Daily horizontal global solar radiation 1966–2015 R2, RMSE, NRMSE, and MBE The second model (P2) has high accuracy when only air temperature is considered, but models 3 and 5 (P3 and P5) have higher accuracy when other variables (eg. precipitation and relative humidity) are considered for tropical regions of China. [30]
Muğla, Türkiye 105 different regression models and set of new regression models Sunshine duration, cloudless, and average sunshine duration Global horizontal solar radiation January 2007 to August 2015 MPE, MBE, MAPE, MABE, RMSE, and R2 7 new calibrated models were tested and found low error rates. [31]
China 72 existing and developed empirical models Meteorological and solar radiation data Diffuse horizontal solar radiation 1966–2015 R2, RMSE, RRMSE, MAB, NRMSE, t-stat, U95, and GPI In different categories, models were tested and developed. [32]
India Three Global Solar Radiation models (M-01, M-02, M-03) Relative humidity, latitude, altitude, and sunshine duration Global solar radiation 1986–2000 RMSE, MAE, R2, MPE, RMSRE MARE, MBE, t-stat, GPI, RRMSE, and U95 M-03 model contains 4 variables and can be applied with maximum 11.8935% MPE. [33]
Morocco Hybrid temperature-based models Temperature Daily global solar radiation 1996–2010 MBE, MSE, RMSE, R2, standard deviation, and performance score 4 ML models were used to optimize 42 temperature-based models and correlations (R2) increase. [34]
China Zone model Surface meteorological measurements. Daily global solar radiation 1970–2017 MABE, RMSE, and NSEC With the zone method NSEC values greater than 0.8 and RMSE% less than 20% obtained. [35]
Iran Twenty-one sunshine-based empirical models Number of days and sunshine Daily solar radiation 2007–2017 R2, MAE, MBE, RRMSE, MAPE, RMSE, and MBE 21 different sunshine-based empirical models were compared and calibrated. [36]
Adrar, Algeria Proposed 6 temperature-based models Daily air temperature Daily average horizontal global solar radiation 4 years period MBE, RMSE, and R2 Proposed M4 model shows best performance (R2 = 0.87). [37]
Industrial City, the Kingdom of Saudi Arabia Linear, Quadratic and Logarithmic Relative humidity, ambient temperature, and sunshine duration Global horizontal radiation January–December 2016 r, R2, RMSE, MBE, MABE, and MAPE 3 different models were examined and compared, the quadratic model has the highest r and R2. [38]
Eskişehir, Türkiye Angström-Prescott model and improved versions of this model, also several typical models based on ambient temperature Sun radiation, sunshine period, temperature, air pressure, wind speed, and relative humidity Worldwide sun radiation January 2011–December 2014 E, MPE, MAPE, SSRE, RSE, MBE, RMSE, t-sat, and R2 The author tested new model usage with 9 statistical techniques. [39]
Peru Multiple linear regression analysis Temperature, precipitation, and relative humidity Daily solar radiation 1990–2004 (calibration) and 2004–2010 (validation) RMSE Seven empirical models were employed for the prediction of daily solar radiation data. [40]
Morroco Temperature -Geographic factors model Temperature- Geographic factors Global solar radiation August 2011–September 2015 r, nMAE, and nRMSE 22 empirical models and other machine learning methods were applied. Temperature-Geographic factors models recommend in all empirical models. [41]
Iran 11 Newly Developed Empirical Models (NDEM) Month number, solar declination, sunshine duration, RH, and cloud cover rank Monthly, daily, and hourly diffuse solar radiation January 2008 to December 2017 RMSE, NRMSE, and R2 11 newly developed models were tested. Errors do not exceed 10% for these models. [42]
Ghana Modified Angström-Prescot, modified Steyn-method, Ordinary kriging method Sunshine duration Global solar radiation, sky view factor, cloudiness index 2015–2018 r Sky conditions were calculated by different methods for the 4 climate regions of Ghana. [43]
China Empirical PV power model, combined a sunshine-based model, and inverse distance weighting model Minimum and maximum temperature, sunshine duration, relative humidity, and precipitation Global solar radiation 1961 to 2018 RMSE, MAE, RRMSE, R2, and NS New developed global solar radiation model can predict correctly. [44]
Fiji island 20 empirical models Sunshine duration, minimum, mean, and maximum temperatures, cloud cover, and relative humidity Global solar radiation 1984 to 2018 ME, NSE, PME, RMSE, and r-value 20 models were analyzed by dividing into 3 different groups. Models with relative humidity in group 3 performed very well. [45]
Irani (Ahvaz, BandarAbbas, and Kermanshah) Eight Rs empirical models, (AP, GG, HS, S, An, Ch, Ba, Ab) Extraterrestrial solar radiation, sunshine hours, air temperature, relative humidity, maximum possible sunshine hours, the function of daily range of air temperature, and station altitude Solar radiation 2007 to 2017 RMSE, NMRSE, and R2 They compared 8 empirical models and SVM models. They do not recommend the use of empirical models instead of the SVM model, despite their high accuracy. [46]