M.A.M Shaltout, MTY Tadros . 1994. Typical solar radiation year for Egypt. Renewable Energy 4(4):387–393

M.A.M. Shaltout and M.T.Y. Tadros, Typical solar radiation year for Egypt, Renewable Energy, vol. 4, isuue 4, pp. 387–393,1994

Solar energy is being seriously considered for satisfying a significant part of energy demand in Malaysia, as is in the world

An accurate knowledge of the solar radiation data at a particular geographical location is of vital importance for the development of solar energy devices

and for estimates of their performances (Duffie and Beckman, 2006)

M.A.M. Shaltout and M.T.Y. Tadros; “Typical solar radiation year for Egypt”; Renewable Energy, vol. 4, Rev. 4, pp. 387–393, 1994.

Lorenz E, Hurka J, Heinemann D, Beyer HG (2009b) Irradiance forecasting for the power

prediction of grid-connected photovoltaic systems. IEEE J Sel Top Appl Earth Obs Remote Sens 2(1):2–10

D. Heinemann, E. Lorenz, and M. Girodo, “Forecasting of solar radiation,” in Solar Energy Resource Management for Electricity Generation

From Local Level to Global Scale, E. D. Dunlop, L. Wald, and M. Súri, Eds. Hauppauge, NY: Nova, 2005.

R. A. Guarnieri, E. B. Pereira, and S. C. Chou, “Solar radiation forecast using arti?cial neural networks in South Brazil,” in

Proc. 8 ICSHMO, Foz do Iguaçu, Brazil, Apr. 24–28, 2006, pp. 1777–1785, INPE

Figure 2: Network regression plot

NASA Surface meteorology and Solar Energy database on https://eosweb.larc.nasa.gov/cgi-bin/sse, accessed on March 2013 to June 2013

Forecast information on the expected solar and wind power production is necessary for the management of electricity grids,

for scheduling of conventional power plants and also for decision making on the energy market