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Solar PV yield nowcasting is used to help anticipate peaks and troughs indemand to support grid integration. This paper compares multiple low-resourceapproaches to nowcasting solar PV yield, using a dataset of UK satelliteimagery and solar PV energy readings over a 1 to 4-hour time range. The paperalso estimates the carbon emissions generated and averted by deploying models,and finds that even small models that could be deployable in low-resourcesettings may have a benefit several orders of magnitude greater than its carboncost. The paper also examines prediction errors and the activations in a CNN.

Comparing the carbon costs and benefits of low-resource solar nowcasting