Solar Energy Forecast Validation For Extended Areas & Economic Impact Of Forecast Accuracy

2016 IEEE 43RD PHOTOVOLTAIC SPECIALISTS CONFERENCE (PVSC)(2016)

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Abstract
This article evaluates the accuracy of solar energy forecasts as a function of geographic footprint ranging from a single point to regions spanning several hundred km. The forecast models that are evaluated include SolarAnywhere (R), ECMWF, GFS, HRRR, NDFD and satellite-based cloud motion. The forecast time horizons range from one hour ahead to 2 days ahead. In addition, a new accuracy metric is introduced: this metric quantifies the cost of remedying forecast errors with backup generation if the forecasts overpredict, or with curtailment in case of underprediction.
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Key words
solar forecast,solar resource,backup,curtailment,storage
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