An Application of the Multilayer Perceptron: Solar Radiation in Spain
Solar Energy, (2005)Abstract
on a neural network system Lippmann, R.P., 1987. An introduction
to computing with neural nets. IEEE ASSP Magazine, 4â22 called
Multi-Layer Perceptron (MLP) Haykin, S., 1994. Neural Networks.
A Comprehensive Foundation. Macmillan Publishing Company; Hornik,
K., Stinchcombe, M., White, H., 1989. Multilayer feedforward networks
are universal approximators. Neural Networks, 2(5), 359â366. To
obtain a solar radiation map it is necessary to know the solar radiation
of many points spread wide across the zone of the map where it is
going to be drawn. For most of the locations all over the world the
records of these data (solar radiation in whatever scale, daily or
hourly values) are nonexistent. Only very few locations have the
privilege of having good meteorological stations where records of
solar radiation have being registered. But even in those locations
with historical records of solar data, the quality of these solar
series is not as good as it should be for most purposes. In addition,
to draw solar radiation maps the number of points on the maps (real
sites) that it is necessary to work with makes this problem difficult
to solve. Nevertheless, with the application of the methodology proposed
in this paper, this problem has been solved and solar radiation maps
have been obtained for a small region of Spain: JaeÂ?n province,
a southern province of Spain between parallels 38 250 N and 37 250
N, and meridians 4 100 W and 2 100 W, and for a larger region: AndalucıÂ?a,
the most southern region of Spain situated between parallels 38 400
N and 36 000 N, and meridians 7 300 W and 1 400 W.