It has been noted that cloud cover issues pose a challenge to the integration of solar energy generation into the power grid. The variability of solar energy at the Mauna Loa Observatory in Hawaii would seem to support this view (Figure 1). Fortunately, the data science approach employed by EEDS is well suited to working with solar energy data (Figure 2). Observe that the autocorrelations in the data are quite pronouced. This feature of the data is invaluable in generating accurate predictions of solar energy.