Submissions
Guidelines
Janjai S, Pankaew P, Laksanaboonsong J. A model for calculating hourly global solar radiation
from satellite data in the tropics. Appl Energy 2009;86:1450–7.
Wong LT, Chow WK. Solar radiation model. Appl Energy 2001;69:191–224.
Gasser E. Hassan, Mohamed A. Ali MEY. Solar Energy Availability in Suez Canal’s Zone - Case
study: Port Said and Suez cities, Egypt. Int. Marit. Transp. Logist. Conf. (MARLOG 6), 2017, p.
–8.
El-Sebaii a. a., Al-Hazmi FS, Al-Ghamdi a. a., Yaghmour SJ. Global, direct and diffuse solar
radiation on horizontal and tilted surfaces in Jeddah, Saudi Arabia. Appl Energy 2010;87:568–76.
Gasser E. Hassan, M. Elsayed Youssef, Mohamed A. Ali, Zahraa E. Mohamed AH. Evaluation of Different Sunshine-Based Models for Predicting Global Solar Radiation – Case Study: New Borg
El-Arab City, Egypt. Therm Sci 2017:[Accepted].
Angström A. Solar and terrestrial radiation. Q J R Meteorol Soc 1924;50:121–5.
Prescott JA. Evaporation from water surface in relation to solar radiation. Trans R Soc Aust
;46:114–8.
Besharat F, Dehghan A a., Faghih AR. Empirical models for estimating global solar radiation: A
review and case study. Renew Sustain Energy Rev 2013;21:798–821.
Almorox J, Benito M, Hontoria C. Estimation of monthly Angstrom-Prescott equation
coefficients from measured daily data in Toledo, Spain. Renew Energy 2005;30:931–6.
Youssef E, Hassan GE, Ali MA. Investigating the performance of different models in estimating
global solar radiation. Adv Nat Appl Sci 2016;10:379–89.
Hassan GE, Youssef ME, Mohamed ZE, Ali MA, Hanafy AA. New Temperature-based Models
for Predicting Global Solar Radiation. Appl Energy 2016;179:437–50.
Hassan GE, Youssef ME, Ali MA, Mohamed ZE, Shehata AI. Performance assessment of
different day-of-the-year-based models for estimating global solar radiation - Case study: Egypt. J
Atmos Solar-Terrestrial Phys 2016;149:69–80.
Jiang Y. Computation of monthly mean daily global solar radiation in China using artificial neural
networks and comparison with other empirical models. Energy 2009;34:1276–83.
Şenkal O, Kuleli T. Estimation of solar radiation over Turkey using artificial neural network and
satellite data. Appl Energy 2009;86:1222–8.
[15] Li H, Ma W, Lian Y, Wang X. Estimating daily global solar radiation by day of year in
China. Appl Energy 2010;87:3011–7.
NASA Data. NASA Surface meteorology and Solar Energy n.d. https://eosweb.larc.nasa.gov/cgibin/sse/daily.cgi
& https://power.larc.nasa.gov/cgi-bin/[email protected]
(accessed April 10, 2015).
Fadare DA. Modelling of solar energy potential in Nigeria using an artificial neural network
model. Appl Energy 2009;86:1410–22.
Kalogirou SA. Artificial neural networks in renewable energy systems applications: a review.
Renew Sustain Energy Rev 2001;5:373–401.
Lin JT, Bhattacharyya D, Kecman V. Multiple regression and neural networks analyses in
composites machining. Compos Sci Technol 2003;63:539–48.
Picton PD. Neural networks. Palgrave; 2000.
Rahimikhoob A. Estimating global solar radiation using artificial neural network and air
temperature data in a semi-arid environment. Renew Energy 2010;35:2131–5.
Ajayi OO, Ohijeagbon OD, Nwadialo CE, Olasope O. New model to estimate daily global solar
radiation over Nigeria. Sustain Energy Technol Assessments 2014;5:28–36.
Krenker A, Bešter J, Kos A. Introduction to the Artificial Neural Networks. Artif. Neural
Networks - Methodol. Adv. Biomed. Appl., 2011, p. 1046–54.