SCADA based nonparametric models for condition monitoring of a wind turbine

Ravi Kumar Pandit, David Infield

Research output: Contribution to journal › Conference Contribution › peer-review

53 Downloads (Pure)

3 Article

3 results

2019
Comparative analysis of Gaussian Process power curve models based on different stationary covariance functions for the purpose of improving model accuracy
Pandit, R. K. & Infield, D., 30 Sept 2019, In: Renewable Energy. 140, p. 190-202 13 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
34 Citations (Scopus)

47 Downloads (Pure)
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.
Research output: Contribution to journal › Article › peer-review

Open Access
File
40 Citations (Scopus)

109 Downloads (Pure)
2018
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.
Research output: Contribution to journal › Article › peer-review

Open Access
File
50 Citations (Scopus)

53 Downloads (Pure)