Solar irradiation tends to vary greatly throughout the day. The
difference is very large especially between the early hours of
sunshine, and during the peak hours of the day. Yet, it is
desirable to supply a nearly constant amount of power to loads or
power grids for high reliability. Hence, we propose a technique
aimed at reducing the variation in solar power generation. Solar
irradiation data is considered as a time-series data and the
approach involves conversion of this data to the frequency domain
through Fourier analysis. A more balanced supply by a set of plants
is devised by interconnecting the plants, which also requires
finding the optimum number of plants to connect using the above
analysis. The effectiveness of the procedure is demonstrated by
applying a suitable supply prediction algorithm over the individual
plants and the effective data for the plants, using real data from
Nevada, Texas, and California.