Comparative analysis of Gaussian Process power curve models based on different stationary covariance functions for the purpose of improving model accuracy

Ravi Kumar Pandit^*, David Infield

^*Corresponding author for this work

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34 Citations (Scopus)

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34 Citations
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2019
Comparison of advanced non-parametric models for wind turbine power curves
Pandit, R. K., Infield, D. & Kolios, A., 8 Jul 2019, In: IET Renewable Power Generation. 13, 9, p. 1503-1510 8 p.
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40 Citations (Scopus)

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2018
Wind turbine power curve modeling and monitoring with Gaussian Process and SPRT
Guo, P. & Infield, D., 3 Dec 2018, (E-pub ahead of print) In: IEEE Transactions on Sustainable Energy. 9 p.
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56 Citations (Scopus)

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Incorporating air density into a Gaussian process wind turbine power curve model for improving fitting accuracy
Pandit, R. K., Infield, D. & Carroll, J., 22 Oct 2018, In: Wind Energy. p. 1-14 14 p.
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49 Citations (Scopus)

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Performance assessment of a wind turbine using SCADA based Gaussian Process model
Pandit, R. K. & Infield, D., 20 Jun 2018, In: International Journal of Prognostics and Health Management. 9, 1, 8 p., 023.
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14 Citations (Scopus)

58 Downloads (Pure)