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Leveraging turbine-level data for improved probabilistic wind power forecasting

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Figure

Fig. 1: Flowchart illustration of the entire forecasting model training methodology. Wind Farm Level Power Data and TurbineLevel SCADA data are only required for model training and evaluation
Fig. 2: Example density forecast using the parametric Gaussiancopula approach at Wind Farm A
Fig. 4: Wind Farm B calibration plots
TABLE II: Results for Wind Farm B. %∆ indicates improvement compared to specified benchmark [CRPS in % of max power]
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