1. Yang, L., Cao, Q., Yu, Y. and Liu, Y., ''Comparison of daily diffuse radiation models in regions of China without solar radiation measurement",
Energy, Vol. 191, (2020), 116571. (
https://doi.org/10.1016/j.energy.2019.116571).
2. Mundu, M.M., Nnamchi, S.N. and Ukagwu, K.J., "Algorithmized modelling, simulation and validation of clearness index in four regions of Uganda",
Journal of Solar Energy Research, Vol. 5, No. 2, (2020), 432-452. (
https://doi.org/10.22059/jser.2020.300924.1150).
3. Jahani, B. and Mohammadi, B., "A comparison between the application of empirical and ANN methods for estimation of daily global solar radiation in Iran",
Theoretical and Applied Climatology, Vol. 137, No. 1-2, (2019), 1257-1269. (
https://doi.org/10.1007/s00704-018-2666-3).
6. Jervase, J., Al-Lawati, A. and Dorvlo, A., "Contour maps for sunshine ratio for Oman using radial basis function generated data",
Renewable Energy, Vol. 28, No. 3, (2003), 487-497. (
https://doi.org/10.1016/s0960-1481(02)00035-6).
7. Wu, B., Liu, S., Zhu, W., Yu, M., Yan, N. and Xing, Q., "A method to estimate sunshine duration using cloud classification data from a geostationary meteorological satellite (FY-2D) over the Heihe River Basin",
Sensors, Vol. 16, No. 11, (2016), 1859. (
https://doi.org/10.3390/s16111859).
8. Xue, L., Wang, C., Wang, C. and Shen, S., "Agricultural climatic regionalization for Longyan cultivation in Guangdong province",
Journal of Tropical Meteorology, Vol. 27, (2011), 403-409. (
http://en.cnki.com.cn/Article_en/CJFDTotal-RDQX201103014.htm).
9. Huang, Y., Xiu, S., Zhong, S., Zheng, L. and Sun, H., "Division of banana for climatic suitability based on a decision tree",
Journal of Tropical Meteorology, Vol. 28, (2012), 140-144. (
http://en.cnki.com.cn/Article_en/CJFDTotal-RDQX201201016.htm).
10. Mubiru, J., Banda, E., D’Ujanga, F. and Senyonga, T., "Assessing the performance of global solar radiation empirical formulations in Kampala, Uganda",
Theoretical Applied Climatology, Vol. 87, No. 1-4, (2007), 179-184. (
https://doi.org/10.1007/s00704-005-0196-2).
11. Rabehi, A., Guermoui, M. and Lalmi, D., "Hybrid models for global solar radiation prediction: A case study",
International Journal of Ambient Energy, Vol. 41, No. 1, (2020), 31-40. (
https://doi.org/10.1080/01430750.2018.1443498).
12. Suthar, M., Singh, G. and Saini, R., "Effects of air pollution for estimating global solar radiation in India",
International Journal of Sustainable Energy, Vol. 36, No. 1, (2017), 20-27. (
https://doi.org/10.1080/14786451.2014.979348).
13. Adnan, S., Hayat Khan, A., Haider, S. and Mahmood, R., "Solar energy potential in Pakistan",
Journal of Renewable Sustainable Energy, Vol. 4, No. 3, (2012), 032701. (
https://doi.org/10.1063/1.4712051).
14. Qian, H., "Study on the measurement method of direct radiation sunshine hour", Doctoral Dissertation, Master’s Thesis, Nanjing University of Information Science and Technology, Nanjing, China, (2013).
15. Rijks, D. and Huxley, P., "The empirical relation between solar radiation and hours of bright sunshine near Kampala, Uganda",
Journal of Applied Ecology, Vol 1, No. 2, (1964), 339-345. (
https://doi.org/10.2307/2401317).
16. Matuszko, D., "A comparison of sunshine duration records from the Campbell-Stokes sunshine recorder and CSD3 sunshine duration sensor",
Theoretical and Applied Climatology, Vol. 119, No. 3-4, (2015), 401-406. (
https://doi.org/10.1007/s00704-014-1125-z).
17. Fan, J., Wang, X., Wu, L., Zhang, F., Bai, H., Lu, X. and Xiang, Y., "New combined models for estimating daily global solar radiation based on sunshine duration in humid regions: A case study in South China",
Energy Conversion Management, Vol. 156, (2018), 618-625. (
https://doi.org/10.1016/j.enconman.2017.11.085).
18. Jahani, B., Dinpashoh, Y. and Nafchi, A.R., "Evaluation and development of empirical models for estimating daily solar radiation",
Renewable Sustainable Energy Reviews, Vol. 73, (2017), 878-891. (
https://doi.org/10.1016/j.rser.2017.01.124).
20. Al-Aboosi, F.Y., "Models and hierarchical methodologies for evaluating solar energy availability under different sky conditions toward enhancing concentrating solar collectors use: Texas as a case study",
International Journal of Energy Environmental Engineering, Vol. 11, No. 3, (2019), 1-29. (
https://doi.org/10.1007/s40095-019-00326-z).
21. Samanta, S., Patra, P.K., Banerjee, S., Narsimhaiah, L., Chandran, M.S., Kumar, P.V. and Bandyopadhyay, S., "Generation of common coefficients to estimate global solar radiation over different locations of India",
Theoretical Applied Climatology, Vol. 136, No. 3-4, (2019), 943-953. (
https://doi.org/10.1007/s00704-018-2531-4).
22. Sahin, A.Z., Rehman, S. and Al-Sulaiman, F., "Global solar radiation and energy yield estimation from photovoltaic power plants for small loads",
International Journal of Green Energy, Vol. 14, No. 5, (2017), 490-498. (
https://doi.org/10.1080/15435075.2016.1278374).
23. Yaniktepe, B., Kara, O. and Ozalp, C., "The global solar radiation estimation and analysis of solar energy: Case study for Osmaniye, Turkey",
International Journal of Green Energy, Vol. 14, No. 9, (2017), 765-773. (
https://doi.org/10.1080/15435075.2017.1329148).
24. Quej, V.H., Almorox, J., Ibrakhimov, M. and Saito, L., "Empirical models for estimating daily global solar radiation in Yucatán Peninsula, Mexico",
Energy Conversion Management, Vol. 110, (2016), 448-456. (
https://doi.org/10.1016/j.enconman.2015.12.050).
25. Namrata, K., Sharma, S. and Seksena, S., "Empirical models for the estimation of global solar radiation with sunshine hours on horizontal surface for Jharkhand (India)",
Applied Solar Energy, Vol. 52, No. 3, (2016), 164-172. (
https://doi.org/10.3103/s0003701x16030099).
26. Kirmani, S., Jamil, M. and Rizwan, M., "Empirical correlation of estimating global solar radiation using meteorological parameters",
International Journal of Sustainable Energy, Vol. 34, No. 5, (2015), 327-339. (
https://doi.org/10.1080/14786451.2013.826222).
27. Dumas, A., Andrisani, A., Bonnici, M., Graditi, G., Leanza, G., Madonia, M. and Trancossi, M., "A new correlation between global solar energy radiation and daily temperature variations",
Solar Energy, Vol. 116, (2015), 117-124. (
https://doi.org/10.1016/j.solener.2015.04.002).
29. Li, H., Ma, W., Bu, X., Lian, Y. and Wang, X., "A multiple linear regression model for estimating global solar radiation in Guangzhou, China",
Energy Sources, Part A: Recovery, Utilization, Environmental Effects, Vol. 35, No. 4, (2013), 321-327. (
https://doi.org/10.1080/15567036.2010.499422).
30. Luis, M.A., Felipe, D.R. and Pilar N.R, "Estimation of global solar radiation by means of sunshine duration",
Proceedings of ISES World Congress 2007, Vol. I–Vol. V, Springer, (2008). (
https://doi.org/10.1007/978-3-540-75997-3_530).
31. Sen, Z., Solar energy fundamentals and modeling techniques: Atmosphere, environment, climate change and renewable energy, Springer Science & Business Media, (2008). (
https://doi.org/10.5860/choice.46-2687).
34. Samadianfard, S., Majnooni-Heris, A., Qasem, S.N., Kisi, O., Shamshirband, S. and Chau, K., "Daily global solar radiation modeling using data-driven techniques and empirical equations in a semi-arid climate",
Engineering Applications of Computational Fluid Mechanics, Vol. 13, No. 1, (2019), 142-157. (
https://doi.org/10.1080/19942060.2018.1560364).
35. Lockart, N., Kavetski, D. and Franks, S.W., "A new stochastic model for simulating daily solar radiation from sunshine hours",
International Journal of Climatology, Vol. 35, No. 6, (2015), 1090-1106. (
https://doi.org/10.1002/joc.4041).
37. Arslan, T., Yavuz, A.A. and Açikkalp, E., "The importance of the chosen technique to estimate diffuse solar radiation by means of regression",
International Journal of Green Energy, Vol. 12, No. 1, (2015), 23-27. (
https://doi.org/10.1080/15435075.2014.889010).
38. Bailek, N., Bouchouicha, K., Abdel-Hadi, Y.A., El-Shimy, M., Slimani, A., Jamil, B. and Djaafari, A., "Developing a new model for predicting global solar radiation on a horizontal surface located in Southwest Region of Algeria",
NRIAG Journal of Astronomy Geophysics, Vol. 9, No. 1, (2020), 341-349. (
https://doi.org/10.1080/20909977.2020.1746892).
39. Ramgolam, Y.K. and Soyjaudah, K.M.S., "Assessment and validation of global horizontal radiation: A case study in Mauritius",
International Journal of Green Energy, Vol. 16, No. 14, (2019), 1317-1328. (
https://doi.org/10.1080/15435075.2019.1671407).
40. Rahimikhoob, A., "Estimating sunshine duration from other climatic data by artificial neural network for ET 0 estimation in an arid environment",
Theoretical Applied Climatology, Vol. 118, No. 1-2, (2014), 1-8. (
https://doi.org/10.1007/s00704-013-1047-1).
41. Shamim, M.A., Remesan, R., Han, D., Ejaz, N. and Elahi, A., "An improved technique for global daily sunshine duration estimation using satellite imagery",
Journal of Zhejiang University SCIENCE A, Vol. 13, No. 9, (2012), 717-722. (
https://doi.org/10.1631/jzus.a1100292).
42. Nnamchi, S.N., Mundu, M.M. and Ukagwu J.K., "Development and adaptation of periodic and non-periodic relative sunshine hours models for the equatorial latitudes: A case study of Uganda", (2020).
45. Karume, K., Banda, E., Mubiru, J. and Majaliwa, M., "Correlation between sunshine hours and climatic parameters at four locations in Uganda",
Tanzania Journal of Science, Vol. 33, No. 1, (2007). (
https://doi.org/10.4314/tjs.v33i1.44279).
46. Kandirmaz, H., Kaba, K. and Avci, M., "Estimation of monthly sunshine duration in Turkey using artificial neural networks",
International Journal of Photoenergy, Vol. 2014, (2014). (
https://doi.org/10.1155/2014/680596).
47. Yadav, A.K. and Chandel, S., "Solar radiation prediction using Artificial Neural Network techniques: A review",
Renewable Sustainable Energy Reviews, Vol. 33, (2014), 772-781. (
https://doi.org/10.1016/j.rser.2013.08.055).
48. Frei, C., Willi, M., Stöckli, R. and Dürr, B., "Spatial analysis of sunshine duration in complex terrain by non‐contemporaneous combination of station and satellite data",
International Journal of Climatology, Vol. 35, No. 15, (2015), 4771-4790. (
https://doi.org/10.1002/joc.4322).
49. Ali, M.H. and Abustan, I., "A new novel index for evaluating model performance",
Journal of Natural Resources Development, Vol. 4, (2014), 1-9. (
https://doi.org/10.5027/jnrd.v4i0.01).
50. Chai, T. and Draxler, R.R., "Root mean square error (RMSE) or mean absolute error (MAE)?–Arguments against avoiding RMSE in the literature",
Geoscientific Model Development, Vol. 7, No. 3, (2014), 1247-1250. (
https://doi.org/10.5194/gmd-7-1247-2014).
51. Moreno, J.J.M., Pol, A.P., Abad, A.S. and Blasco, B.C., "Using the R-MAPE index as a resistant measure of forecast accuracy",
Psicothema, Vol. 25, No. 4, (2013), 500-506. (
https://doi.org/10.7334/psicothema2013.23).
52. Muzathik, A., Nik, W., Ibrahim, M., Samo, K., Sopian, K. and Alghoul, M., "Daily global solar radiation estimate based on sunshine hours",
International Journal of Mechanical and Materials Engineering, Vol. 6, No. 1, (2011), 75-80. (
https://www.researchgate.net/publication/259479118_Daily_global_solar_radiation_estimate_based_on_sunshine_hours).
53. Anis, M.S., Jamil, B., Ansari, M.A. and Bellos, E., "Generalized models for estimation of global solar radiation based on sunshine duration and detailed comparison with the existing: A case study for India",
Sustainable Energy Technologies Assessments, Vol. 31, (2019), 179-198. (
https://doi.org/10.1016/j.seta.2018.12.009).
54. Onyango, A.O. and Ongoma, V., "Estimation of mean monthly global solar radiation using sunshine hours for Nairobi City, Kenya",
Journal of Renewable Sustainable Energy, Vol. 7, No. 5, (2015), 053105. (
https://doi.org/10.1063/1.4930530).
55. Che, H., Shi, G., Zhang, X., Zhao, J. and Li, Y., "Analysis of sky conditions using 40 year records of solar radiation data in China",
Theoretical Applied Cimatology, Vol. 89, No. 1-2, (2007), 83-94. (
https://doi.org/10.1007/s00704-006-0258-0).
56. Jin, Z., Yezheng, W. and Gang, Y., "General formula for estimation of monthly average daily global solar radiation in China",
Energy Conversion Management, Vol. 46, No. 2, (2005), 257-268. (
https://doi.org/10.1016/j.enconman.2004.02.020).
57. Akinoǧlu, B. and Ecevit, A., "Construction of a quadratic model using modified Ångstrom coefficients to estimate global solar radiation",
Solar Energy, Vol. 45, No. 2, (1990), 85-92. (
https://doi.org/10.1016/0038-092x(90)90032-8).