Publication Details
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Francisco Javier Jara Avila, Verstraeten, Timothy, Konstantinos Vratsinis, , Helsen, Jan
 

Journal of Physics: Conference Series

Contribution To Book Anthology

Abstract 

Wind is a renewable energy source that has become more important in recent years. Wind turbines are equipped with a SCADA system, which allows for remote supervision of the wind farm. SCADA systems are customarily used to provide data averaged every 10 minutes. Nevertheless, recent literature suggests that more insights could be extracted with a higher granularity of data. In this work, a naive methodology based on Multi-Task Gaussian Process Regression is presented, in order to show how spatiotemporal modeling benefits power estimation. Using sparsity properties a model for possible power prediction is proposed. The model proposed performs better than the power curves provided by the manufacturer.

Reference 
 
 
DOI scopus