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UK to Leverage Cloud-Predicting AI to Anticipate Solar Energy Supply

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In general, solar energy is less intermittent than wind, owing to the predictability of daytime, nighttime, solar intensity and the angle of the sun relative to a location throughout the day. Clouds, however, throw a wrench into the works, chaotically disrupting the supply of solar energy to solar panels with little warning (large-scale climate and weather forecasting models are, broadly speaking, unable to resolve at the level of individual clouds). Complicating matters, energy operators, while aware of large-scale solar facilities, are often unaware of the exact geographic siting of solar panels on households or businesses. The combination of difficult-to-predict clouds and missing location information for many solar panels means that the operators don't know when clouds are covering those solar panels – and, as a result of that uncertainty, the grid requires a larger buffer of other energy sources to account for the difference.