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Open Access research that is tackling the climate emergency...

Addressing the energy challenge confronting society is a strategic research theme for Strathclyde. Researchers from across the institution, spanning multiple disciplines, are therefore working together to understand ways of reducing the environmental impacts of energy use, improving energy efficiency, coping with declining fossil fuel supplies, managing an ageing energy infrastructure, and devising policy or economic levers to achieve higher penetration of renewable energy systems and technologies. Strathprints makes this scholarly research content available Open Access thereby ensuring results are available to everyone in order meet the global climate challenge.

Explore some of this Open Access research from the departments of Mechanical & Aerospace Engineering, Electronic & Electrical Engineering, Civil & Environmental Engineering, Naval Architecture, Ocean & Marine Engineering, Economics, Entrepreneurship and the School of Government & Public Policy.

Or explore all of Strathclyde's Open Access research...

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Group by: Publication Date | Item type | No Grouping
Jump to: 2019 | 2018 | 2017
Number of items: 14.

2019

Pandit, Ravi Kumar and Infield, David (2019) Comparative analysis of Gaussian Process power curve models based on different stationary covariance functions for the purpose of improving model accuracy. Renewable Energy, 140. pp. 190-202. ISSN 0960-1481

Pandit, Ravi Kumar and Infield, David and Kolios, Athanasios (2019) Comparison of advanced non-parametric models for wind turbine power curves. IET Renewable Power Generation, 13 (9). pp. 1503-1510. ISSN 1752-1416

Pandit, Ravi Kumar and Infield, David (2019) SCADA based nonparametric models for condition monitoring of a wind turbine. The Journal of Engineering. pp. 1-5. ISSN 2051-3305

2018

Pandit, Ravi and Infield, David; (2018) Comparative analysis of binning and support vector regression for wind turbine rotor speed based power curve use in condition monitoring. In: 2018 53rd International Universities Power Engineering Conference (UPEC). IEEE, GBR. ISBN 9781538629109

Pandit, Ravi Kumar and Infield, David and Carroll, James (2018) Incorporating air density into a Gaussian process wind turbine power curve model for improving fitting accuracy. Wind Energy. pp. 1-14. ISSN 1095-4244

Pandit, Ravi Kumar and Infield, David (2018) Comparative assessments of binned and support vector regression-based blade pitch curve of a wind turbine for the purpose of condition monitoring. International Journal of Energy and Environmental Engineering. pp. 1-8. ISSN 2008-9163

Pandit, Ravi Kumar and Infield, David (2018) Comparative analysis of binning and Gaussian Process based blade pitch angle curve of a wind turbine for the purpose of condition monitoring. Journal of Physics: Conference Series, 1102 (1). 012037. ISSN 1742-6588

Pandit, Ravi Kumar and Infield, David (2018) Comparison of binned and Gaussian Process based wind turbine power curves for condition monitoring purposes. Journal of Maintenance Engineering, 2.

Pandit, Ravi Kumar and Infield, David (2018) Comparative study of binning and gaussian process based rotor curves of a wind turbine for the purpose of condition monitoring. In: 3rd International Conference on Offshore Renewable Energy, 2018-08-29 - 2018-08-30.

Pandit, Ravi and Infield, David (2018) Gaussian process operational curves for wind turbine condition monitoring. Energies, 11 (7). ISSN 1996-1073

Pandit, Ravi Kumar and Infield, David (2018) Performance assessment of a wind turbine using SCADA based Gaussian Process model. International Journal of Prognostics and Health Management, 9 (1). 023. ISSN 2153-2648

Pandit, Ravi Kumar and Infield, David (2018) SCADA-based wind turbine anomaly detection using Gaussian Process (GP) models for wind turbine condition monitoring purposes. IET Renewable Power Generation. ISSN 1752-1416

Pandit, Ravi and Infield, David; (2018) QQ plot for assessment of Gaussian Process wind turbine power curve error distribution function. In: 9th European Workshop on Structural Health Monitoring. British Institute of Non-Destructive Testing, GBR. (In Press)

2017

Pandit, Ravi Kumar and Infield, David; (2017) Using Gaussian process theory for wind turbine power curve analysis with emphasis on the confidence intervals. In: 2017 6th International Conference on Clean Electrical Power (ICCEP). IEEE, ITA, pp. 744-749. ISBN 978-1-5090-4683-6

This list was generated on Mon Jun 1 00:27:09 2020 BST.