Wind turbine power curve modeling based on Gaussian Processes and Artificial Neural Networks

Bartolomé Manobel, Frank Sehnke, Juan A. Lazzús, Ignacio Salfate, Martin Felder and Sonia Montecinos

Renewable Energy, 2018, vol. 125, issue C, 1015-1020

Abstract: An accurate estimation of the wind turbine power curve is a key issue to the provision of the electricity that the wind farm will transfer to the grid and for a correct evaluation of the performance of each turbine. Artificial Neural Networks (ANN) have proven to be well suited for solving this problem.

Keywords: Automatic filtering method; Wind turbine underperformance; Renewable energy; Wind power forecasting (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (29)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:125:y:2018:i:c:p:1015-1020

DOI: 10.1016/j.renene.2018.02.081

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