Ridgeline Plot Visualizes the Conditional Distribution of Forecasts (IMAGE)
Caption
Being able to accurately forecast how much solar energy reaches the surface of the Earth is key to guiding decisions for running solar power plants and new work in the Journal of Renewable and Sustainable Energy looks to provide a standard of reference to the field. Dazhi Yang proposes an improved way to assess day-ahead solar forecasting, which combines two popular reference methods for weather forecasting, namely persistence and climatology. His approach provides a new way to gauge the skill of a forecaster. This ridgeline plot visualizes the conditional distribution of forecasts given observations at two weather stations with the lowest and highest accuracy scores.
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Dazhi Yang
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