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  • 2020
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Author

  • David Infield
Open Access
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2 Citations (Scopus)
9 Downloads (Pure)

Wind prediction enhancement by exploiting data non-stationarity

Malvaldi, A., Dowell, J., Weiss, S. & Infield, D., 17 Nov 2016, 2nd IET International Conference on Intelligent Signal Processing 2015 (ISP). Piscataway, N.J., 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Open Access
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49 Downloads (Pure)

Utilisation of alkaline electrolysers in existing distribution networks to increase the amount of integrated wind capacity

Kiaee, M., Infield, D. & Cruden, A., 30 Apr 2018, In : Journal of Energy Storage. 16, p. 8-20 13 p.

Research output: Contribution to journalArticle

Open Access
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5 Citations (Scopus)
18 Downloads (Pure)

Using high-frequency SCADA data for wind turbine performance monitoring: a sensitivity study

Gonzales, E., Stephen, B., Infield, D. & Melero, J. J., 28 Feb 2019, In : Renewable Energy. 131, p. 841-853 13 p.

Research output: Contribution to journalArticle

Open Access
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15 Citations (Scopus)
6 Downloads (Pure)

Using Gaussian process theory for wind turbine power curve analysis with emphasis on the confidence intervals

Pandit, R. K. & Infield, D., 18 Aug 2017, 2017 6th International Conference on Clean Electrical Power (ICCEP). Piscataway, N.J.: IEEE, p. 744-749 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Open Access
File
5 Citations (Scopus)
19 Downloads (Pure)
Open Access
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3 Citations (Scopus)
42 Downloads (Pure)

Stability impact on wake development in moderately complex terrain

Infield, D. & Zorzi, G., 3 May 2017, (Accepted/In press) In : IOP Conference Series: Materials Science and Engineering. 10 p.

Research output: Contribution to journalArticle

Open Access
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61 Downloads (Pure)
Open Access
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259 Downloads (Pure)

Short-term wind power forecasting based on clustering pre-calculated CFD method

Wang, Y., Liu, Y., Li, L., Infield, D. & Han, S., 5 Apr 2018, In : Energies. 11, 4, 19 p., 854.

Research output: Contribution to journalArticle

Open Access
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9 Citations (Scopus)
31 Downloads (Pure)

Short-term forecasting and uncertainty analysis of wind turbine power based on long short-term memory network and Gaussian mixture model

Zhang, J., Yan, J., Infield, D., Liu, Y. & Lien, F., 1 May 2019, In : Applied Energy. 241, p. 229-244 16 p.

Research output: Contribution to journalArticle

Open Access
File
20 Citations (Scopus)
5 Downloads (Pure)
Open Access
File
14 Citations (Scopus)
30 Downloads (Pure)

SCADA based nonparametric models for condition monitoring of a wind turbine

Pandit, R. K. & Infield, D., 15 Mar 2019, In : The Journal of Engineering. p. 1-5 5 p.

Research output: Contribution to journalConference Contribution

Open Access
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10 Downloads (Pure)

Realising transition pathways for a more electric, low carbon energy system in the UK: challenges, insights and opportunities

Chilvers, J., Foxon, T. J., Galloway, S., Hammond, G. P., Infield, D., Leach, M., Pearson, P. JG., Strachan, N., Strbac, G. & Thomson, M., 26 Mar 2017, In : Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy . 38 p.

Research output: Contribution to journalArticle

Open Access
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19 Citations (Scopus)
29 Downloads (Pure)

QQ plot for assessment of Gaussian Process wind turbine power curve error distribution function

Pandit, R. & Infield, D., 9 Feb 2018, (Accepted/In press) 9th European Workshop on Structural Health Monitoring. Northampton, 11 p. 0123

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Open Access
File
11 Downloads (Pure)

Probabilistic weather forecasting for dynamic line rating studies

Fan, F., Bell, K. & Infield, D., 20 Jun 2016, 2016 Power Systems Computation Conference (PSCC). Piscataway. NJ.: IEEE, p. 1-7 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Open Access
File
7 Citations (Scopus)
92 Downloads (Pure)
Open Access
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15 Citations (Scopus)
244 Downloads (Pure)

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.

Research output: Contribution to journalArticle

Open Access
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30 Downloads (Pure)

On the use of high-frequency SCADA data for improved wind turbine performance monitoring

Gonzales, E., Stephen, B., Infield, D. & Melero, J., 23 Nov 2017, In : Journal of Physics: Conference Series. 926, 14 p., 012009.

Research output: Contribution to journalArticle

Open Access
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13 Citations (Scopus)
131 Downloads (Pure)

Numerical weather prediction wind correction methods and its impact on computational fluid dynamics based wind power forecasting

Liu, Y., Wang, Y., Li, L., Han, S. & Infield, D., 20 May 2016, In : Journal of Renewable and Sustainable Energy. 8, 3, 13 p., 033302.

Research output: Contribution to journalArticle

Open Access
File
14 Citations (Scopus)
95 Downloads (Pure)
Open Access
File
22 Citations (Scopus)
43 Downloads (Pure)

Mapping hail meteorological observations for prediction of erosion in wind turbines

MacDonald, H., Infield, D., Nash, D. H. & Stack, M. M., 1 Apr 2016, In : Wind Energy. 19, 4, p. 777-784 8 p.

Research output: Contribution to journalArticle

Open Access
File
10 Citations (Scopus)
154 Downloads (Pure)

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 journalArticle

Open Access
File
11 Citations (Scopus)
4 Downloads (Pure)

Gaussian process power curve models incorporating wind turbine operational variables

Pandit, R. K., Infield, D. & Kolios, A., 26 Jun 2020, In : Energy Reports. 6, p. 1658-1669 12 p.

Research output: Contribution to journalArticle

Open Access
File

Gaussian process operational curves for wind turbine condition monitoring

Pandit, R. & Infield, D., 22 Jun 2018, In : Energies. 11, 7, 20 p.

Research output: Contribution to journalArticle

Open Access
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7 Citations (Scopus)
20 Downloads (Pure)

Fault diagnosis of wind turbine with SCADA alarms based multidimensional information processing method

Qiu, Y., Feng, Y. & Infield, D., 31 Jan 2020, In : Renewable Energy. 145, p. 1923-1931 9 p.

Research output: Contribution to journalArticle

2 Citations (Scopus)

Detailed pseudo-static drive train modelling with generator short circuit

Warnock, C. & Infield, D., 3 Oct 2016, In : Journal of Physics: Conference Series. 753, 13 p., 112004.

Research output: Contribution to journalArticle

Open Access
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24 Downloads (Pure)

Deactivation mechanisms of atmospheric plasma spraying Raney nickel electrodes.

Chade, D., Berlouis, L., Infield, D., Nielsen, P. T. & Mathiesen, T., 14 Jan 2016, In : Journal of the Electrochemical Society. 163, 3, p. F308-F317 10 p.

Research output: Contribution to journalArticle

Open Access
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3 Citations (Scopus)
77 Downloads (Pure)
Open Access
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1 Downloads (Pure)
Open Access
File
18 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 journalArticle

Open Access
File
6 Citations (Scopus)
28 Downloads (Pure)

Comparative study of binning and gaussian process based rotor curves of a wind turbine for the purpose of condition monitoring

Pandit, R. K. & Infield, D., 30 Aug 2018. 7 p.

Research output: Contribution to conferenceProceeding

Open Access
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10 Downloads (Pure)
Open Access
File
4 Citations (Scopus)
9 Downloads (Pure)
Open Access
File
6 Citations (Scopus)
4 Downloads (Pure)

Comparative analysis of binning and support vector regression for wind turbine rotor speed based power curve use in condition monitoring

Pandit, R. & Infield, D., 13 Dec 2018, 2018 53rd International Universities Power Engineering Conference (UPEC). Piscataway, NJ: IEEE, 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Open Access
File
3 Citations (Scopus)
14 Downloads (Pure)
Open Access
File
1 Citation (Scopus)
11 Downloads (Pure)

A spatial and temporal correlation analysis of aggregate wind power in an ideally interconnected Europe

Malvaldi, A., Weiss, S., Infield, D., Browell, J., Leahy, P. & Foley, A. M., 2 Mar 2017, In : Wind Energy. 16 p.

Research output: Contribution to journalArticle

Open Access
File
22 Citations (Scopus)
91 Downloads (Pure)

A review of grid-tied converter topologies used in photovoltaic systems

Xiao, W., El Moursi, M. S., Khan, O. & Infield, D., 14 Jun 2016, In : IET Renewable Power Generation. 22 p.

Research output: Contribution to journalArticle

Open Access
File
37 Citations (Scopus)
1097 Downloads (Pure)

Applying thermophysics for wind turbine drivetrain fault diagnosis using SCADA data

Qiu, Y., Feng, Y., Sun, J., Zhang, W. & Infield, D., 19 Jan 2016, In : IET Renewable Power Generation. 8 p.

Research output: Contribution to journalArticle

Open Access
File
42 Citations (Scopus)
159 Downloads (Pure)

A hybrid forecasting method for wind power ramp based on Orthogonal Test and Support Vector Machine (OT-SVM)

Liu, Y., Sun, Y., Infield, D., Zhao, Y., Han, S. & Yan, J., 31 Aug 2016, In : IEEE Transactions on Sustainable Energy. PP, 99, p. 1-7 7 p.

Research output: Contribution to journalArticle

Open Access
File
33 Citations (Scopus)
73 Downloads (Pure)