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• Wind forecasting using kriging and vector auto-regressive models for dynamic line rating studies

  Fan, F., Bell, K., Hill, D. & Infield, D., 2 Jul 2015, 2015 IEEE Eindhoven PowerTech Proceedings. Piscataway, NJ.: IEEE, p. 1-6 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  Open Access

  File

  • Overhead lines
  • Interpolation
  • Cooling
  6 Citations (Scopus)

  314 Downloads (Pure)

• Wind generation technology

  Fox, B. & Anaya-Lara, O., 2007, Wind Power Integration: Connect and System Operational aspects.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

• Wind generator behaviour in a pay-as-bid curtailment market

  Hawker, G., Kane, L. & Bell, K., Oct 2013, (Unpublished). 6 p.

  Research output: Contribution to conference › Paper

  File

  • Wind power
  • Power plants
  • Fluidity
  • Game theory
  • Mathematical operators
  206 Downloads (Pure)

• Wind load Identification of a guyed mast inversely from full-scale response measurement

  Amiri, A. K. & Bucher, C., 3 Oct 2016, In: Journal of Physics: Conference Series. 744, 1, 12 p., 012192.

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

  Open Access

  File

  • Inverse problems
  • Structural members
  • Computer simulation
  • Modal analysis
  • Amplification
  1 Downloads (Pure)

• Window on the west

  Charley, J., 17 Feb 1989, In: Building Design.

  Research output: Contribution to journal › Book/Film/Article review › peer-review

• Wind Panel Manual: Modelling the Aerodynamics of Wind Turbines

  Giles, A. D., 20 Oct 2017, Glasgow: University of Strathclyde. 83 p.

  Research output: Book/Report › Commissioned report

  Open Access

  File

  • Wind turbines
  • Aerodynamics
  43 Downloads (Pure)

• Wind power integration: connection and system operational aspects

  Fox, B., Flynn, D., Bryans, L., Jenkins, N., Milborrow, D., O'Malley, M., Watson, R. & Anaya-Lara, O., 1 Jan 2007, 288 p.

  Research output: Book/Report › Book

• Wind power prediction based on High-frequency SCADA data along with isolation forest and deep learning neural networks

  Lin, Z., Liu, X. & Collu, M., 30 Jun 2020, In: International Journal of Electrical Power & Energy Systems. 118, 10 p., 105835.

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

  Open Access

  File

  • Deep learning
  • Wind power
  • Data acquisition
  • Neural networks
  • Wind turbines
  21 Citations (Scopus)

  1 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 proceeding › Conference contribution book

  Open Access

  File

  • Statistics
  50 Downloads (Pure)

• Wind prediction enhancement by supplementing measurements with numerical weather prediction now-casts

  Malvaldi, A., Dowell, J., Weiss, S., Infield, D. & Hill, D., Oct 2014, p. 1-4. 4 p.

  Research output: Contribution to conference › Paper

  Open Access

  File
  50 Downloads (Pure)

• Wind related faults on the GB transmission network

  Murray, K. & Bell, K., Jul 2014. 6 p.

  Research output: Contribution to conference › Paper › peer-review

  File

  • Electric power transmission networks
  • Climate change
  • Data communication systems
  • Industry
  • Temperature
  14 Citations (Scopus)

  136 Downloads (Pure)

• Wind speed time series characterization by Hilbert transform

  Alpay, S., Bilir, L., Ozdemir, S. & Ozerdem, B., 1 Apr 2006, In: International Journal of Energy Research. 30, 5, p. 359-364 6 p.

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

  • Time series
  • Soft computing
  • Probability density function
  • Wind power
  • Neural networks
  11 Citations (Scopus)

• Wind theft, spatial planning and international relations

  van Der Horst, D. & Vermeylen, S., 2010, In: Renewable Energy Law and Policy Review. 1, 1, p. 67-75 9 p.

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

  • Planning
  • Farms
  • Air
  • Water
  • Solar radiation

• Wind them up, let them go: the primacy of stimulus in the classroom

  Soltysek, R., 2009, In: Writing in Education. 50, 13 p.

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

  Open Access

  File
  81 Downloads (Pure)

• Wind tunnel and CFD study of the natural ventilation performance of a commercial multi-directional wind tower

  Calautit, J. K. & Hughes, B. R., 1 Oct 2014, In: Building and Environment. 80, p. 71-83 13 p.

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

  • Ventilation
  • Towers
  • Wind tunnels
  • Computational fluid dynamics
  • Smoke
  75 Citations (Scopus)

• Wind tunnel and numerical data on the ventilation performance of windcatcher with wing wall

  Nejat, P., Calautit, J. K., Muhd, M. Z., Hughes, B. R., Zeynali, I. & Jomehzadeh, F., 1 Dec 2016, In: Data in Brief. 9, p. 448-452 5 p.

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

  Open Access

  File

  • Ventilation
  • Wind tunnels
  • Computer aided design
  • Geometry
  • Air
  3 Citations (Scopus)

  5 Downloads (Pure)

• Wind tunnel data of the analysis of heat pipe and wind catcher technology for the built environment

  Calautit, J. K., Chaudhry, H. N. & Hughes, B. R., 1 Dec 2015, In: Data in Brief. 5, p. 424-428 5 p.

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

  Open Access

  File

  • Heat pipes
  • Wind tunnels
  • Cooling
  • Roofs
  • Ventilation
  3 Citations (Scopus)

  1 Downloads (Pure)

• Wind tunnel experiments of novel wing configurations for design and customisation in an Industry 4.0 environment

  Yang, J., Chen, Y., Kontis, K. & Li, Y., 1 May 2017, SKIMA 2016 - 2016 10th International Conference on Software, Knowledge, Information Management and Applications. Piscataway, NJ.: IEEE, p. 92-97 6 p. 7916203

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  Open Access

  File

  • Customization
  • Industry 4.0
  • Tunnel
  • Wind tunnels
  • Aircraft
  1 Citation (Scopus)

  25 Downloads (Pure)

• Wind tunnel tests on a wind turbine with contractor and diffuser arrangement

  Fletcher, J. E., Wang, F., Bai, L., Whiteford, J. & Cullen, D., 2007, POWERENG2007: International conference on power engineering - energy and electrical drives proceedings, volumes 1 & 2. New York: IEEE

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  8 Citations (Scopus)

• Wind Turbine Blade Leading Edge Erosion: An Investigation of Rain Droplet and Hailstone Impact Induced Damage Mechanisms

  Keegan, M. H., 2014, Glasgow: University of Strathclyde. 360 p.

  Research output: Thesis › Doctoral Thesis

  Open Access

  File

  • Rain
  • Erosion
  • Turbomachine blades
  • Wind turbines
  • Substrates
  40 Citations (Scopus)

  2951 Downloads (Pure)

• Wind turbine condition assessment through power curve copula modeling

  Gill, S., Stephen, B. & Galloway, S., 1 Jan 2012, In: IEEE Transactions on Sustainable Energy. 3, 1, p. 94-101 8 p.

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

  Open Access

  File

  • Wind turbines
  • Condition monitoring
  • Distribution functions
  • Probability distributions
  • Turbines
  138 Citations (Scopus)

  275 Downloads (Pure)

• Wind turbine condition monitoring

  Quail, F. & Feuchtwang, J., 17 Sep 2011.

  Research output: Contribution to conference › Paper

  • Condition monitoring
  • Wind turbines
  • Oils

• Wind turbine contribution in frequency drop mitigation – modified operation and estimating released supportive energy

  Attya, A. B. & Hartkopf, T., 12 May 2014, In: IET Generation, Transmission and Distribution . 8, 5, p. 862 - 872 11 p.

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

  • Wind turbines
  • Wind power
  • Deceleration
  • Turbogenerators
  • Farms
  57 Citations (Scopus)

• Wind turbine control

  Leithead, W. & Stock, A., 16 Aug 2016, UK Wind Energy Technologies. Hogg, S. & Crabtree, C. (eds.). UK: Routledge, p. 219-258 40 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

• Wind turbine control design to enhance the fault ride-through capability

  Zhang, F., Leithead, W. E. & Anaya-Lara, O., 30 Sep 2011, IET Renewable Power Generation Conference 2011. Stevenage, p. 743-748 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  Open Access

  File

  • Wind turbines
  • Controllers
  • Asynchronous generators
  • Turbomachine blades
  • Turbines
  9 Citations (Scopus)

  131 Downloads (Pure)

• Wind turbine control using PI pitch angle controller

  Hwas, A. M. S. & Katebi, R., 30 Mar 2012, (Unpublished).

  Research output: Contribution to conference › Proceeding

  File

  • Wind turbines
  • Controllers
  • Gain control
  • Turbines
  • Rotors
  3033 Downloads (Pure)

• Wind turbine Cpmax and drivetrain-losses estimation using Gaussian process machine learning

  Hart, E., Leithead, W. E. & Feuchtwang, J., 19 Jun 2018, In: Journal of Physics: Conference Series. 1037, 8 p., 032024.

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

  Open Access

  File
  2 Citations (Scopus)

  41 Downloads (Pure)

• Wind turbine design optimization under environmental uncertainty

  Caboni, M., Campobasso, M. S. & Minisci, E., 15 Jun 2015, Proceedings of the ASME Turbo Expo 2015. Vol. 9.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  • Wind turbines
  • Uncertainty
  • Turbines
  • Rotors
  • Airfoils

• Wind turbine design optimization under environmental uncertainty

  Caboni, M., Campobasso, M. S. & Minisci, E., 1 Aug 2016, In: Journal of Engineering for Gas Turbines and Power. 138, 8, 10 p., 082601.

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

  • Wind turbines
  • Uncertainty
  • Turbines
  • Rotors
  • Airfoils
  6 Citations (Scopus)

• Wind turbine foundation deburial sensors based on induction-heated ceramic patches

  Perry, M., Saafi, M., Fusiek, G. & Niewczas, P., 7 Sep 2015, Proceedings of SMAR 2015 the 3rd Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures: [7-9 September 2015, Antalya TR]. Ilki, A., Motavalli, M., Inci, P. & Köhli, M. (eds.). Antalya, 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  Open Access

  File

  • Magnetite
  • Wind turbines
  • Surface waters
  • Concretes
  • Geopolymers
  75 Downloads (Pure)

• Wind turbine gearbox condition monitoring: experimental validation of a thermal network model

  Corley, B., Carroll, J. & McDonald, A. S., 17 Jun 2019. 1 p.

  Research output: Contribution to conference › Abstract › peer-review

  Open Access

  File

  • Condition monitoring
  • Wind turbines
  • Hot Temperature
  • Temperature measurement
  • Experiments
  5 Downloads (Pure)

• Wind turbine gearbox condition monitoring

  Quail, F. & Hamilton, A. W., 18 Oct 2010.

  Research output: Contribution to conference › Paper

• Wind turbine gearbox condition monitoring based on class of support vector regression models and residual analysis

  Dhiman, H. S., Deb, D., Carroll, J., Muresan, V. & Unguresan, M-L., 25 Nov 2020, In: Sensors. 20, 23, 17 p., 6742.

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

  Open Access

  File

  • Condition monitoring
  • Wind turbines
  • Oils
  • Feature extraction
  • Decision trees
  1 Citation (Scopus)

  1 Downloads (Pure)

• Wind turbine gearbox failure and remaining useful life prediction using machine learning techniques

  Carroll, J., Koukoura, S., McDonald, A., Weiss, S. & McArthur, S., 6 Nov 2018, In: Wind Energy. 16 p.

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

  Open Access

  File

  • Wind turbines
  • Data acquisition
  • Machine learning
  • Neural networks
  • Failure modes
  25 Citations (Scopus)

  57 Downloads (Pure)

• Wind turbine gearbox ice sensing and condition monitoring for fault prognosis and diagnosis

  Lian, Y., Pattison, D., Kenyon, A., Segovia Garcia, M. D. C. & Quail, F., Jun 2013, Proceedings of COMADEM 2013, International Congress of Condition Monitoring and Diagnostics Engineering Management. 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  Open Access

  File

  • Condition monitoring
  • Ice
  • Wind turbines
  • Bayesian networks
  • Costs
  140 Downloads (Pure)

• Wind turbine gearbox planet bearing failure prediction using vibration data

  Koukoura, S., Carroll, J., McDonald, A. & Weiss, S., 6 Nov 2018, In: Journal of Physics: Conference Series. 1104, 10 p., 012016.

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

  Open Access

  File

  • Planets
  • Wind turbines
  • Offshore wind turbines
  • Demodulation
  • Labeling
  2 Citations (Scopus)

  37 Downloads (Pure)

• Wind turbine gearbox vibration signal signature and fault development through time

  Koukoura, S., Carroll, J., Weiss, S. & McDonald, A., 23 Oct 2017, 25th European Signal Processing Conference, EUSIPCO 2017. piscataway, N.J.: IEEE, p. 1380-1384 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  Open Access

  File

  • Wind turbines
  • Health
  • Gears
  • Tachometers
  • Monitoring
  1 Citation (Scopus)

  23 Downloads (Pure)

• Wind turbine generator condition-monitoring using temperature trend analysis

  Guo, P., Infield, D. & Yang, X., 31 Jan 2012, In: IEEE Transactions on Sustainable Energy. 3, 1, p. 124-133 10 p.

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

  Open Access

  File

  • Turbogenerators
  • Condition monitoring
  • Wind turbines
  • SCADA systems
  • Temperature
  105 Citations (Scopus)

  29 Downloads (Pure)

• Wind Turbine Integration onto High Rise Housing

  Sharpe, T., 26 Jun 2002, EuroSun 2002: visions for the new millennium. Proceedings of Eurosun 2002 the 4th ISES Europe Solar Congress, Conference..

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

• Wind turbine intelligent gear fault identification

  Koukoura, S., Carroll, J. & McDonald, A., 2 Oct 2017. 7 p.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File

  • Wind turbines
  • Gears
  • Tachometers
  • Health
  • Gear teeth
  3 Citations (Scopus)

  68 Downloads (Pure)

• Wind turbine lifetime extension decision-making based on structural health monitoring

  Rubert, T., Zorzi, G., Fusiek, G., Niewczas, P., McMillan, D., McAlorum, J. & Perry, M., 31 Dec 2019, In: Renewable Energy. 143, p. 611-621 11 p.

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

  Open Access

  File

  • Structural health monitoring
  • Wind turbines
  • Decision making
  • Farms
  • Economics
  4 Citations (Scopus)

  8 Downloads (Pure)

• Wind turbine main-bearing loading and wind field characteristics

  Hart, E., Turnbull, A., Feuchtwang, J., McMillan, D., Golysheva, E. & Elliott, R., 30 Nov 2019, In: Wind Energy. 22, 11, p. 1534-1547 14 p.

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

  Open Access

  File

  • Wind turbines
  6 Citations (Scopus)

  11 Downloads (Pure)

• Wind turbine operation anomaly detection using copula statistics

  Stephen, B., Gill, S., Galloway, S., Wang, Y., McMillan, D. & Infield, D., 4 Feb 2013.

  Research output: Contribution to conference › Paper › peer-review

• Wind turbine performance assessment & power curve outlier rejection using copula modelling

  Zorzi, G., Stephen, B. & McMillan, D., 19 Jun 2018. 1 p.

  Research output: Contribution to conference › Poster

  Open Access

  File

  • Anomaly detection
  • Statistical Models
  • Wind turbines
  • Degradation
  13 Downloads (Pure)

• Wind turbine power coefficient analysis of a new maximum power point tracking technique

  Xia, Y., Ahmed, K. & Williams, B., Mar 2013, In: IEEE Transactions on Industrial Electronics. 60, 3, p. 1122-1132 11 p.

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

  • Wind turbines
  • Table lookup
  • Energy conversion
  • Wind power
  • Turbines
  182 Citations (Scopus)

• Wind turbine power curve modeling and monitoring with Gaussian Process and SPRT

  Guo, P. & Infield, D., 3 Dec 2018, In: IEEE Transactions on Sustainable Energy. 9 p.

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

  Open Access

  File

  • Wind turbines
  • Monitoring
  • Anemometers
  • Wind power
  • Decomposition
  7 Citations (Scopus)

  16 Downloads (Pure)

• Wind turbine rotor acceleration: identification using Gaussian regression

  Leithead, W. E. & Dominguez, S., 2005.

  Research output: Contribution to conference › Paper

  Open Access

  File

  • Wind turbines
  • Rotors
  • Time series
  • Data storage equipment
  90 Downloads (Pure)

• Wind turbines support techniques during frequency drops — energy utilization comparison

  Attya, A. B. & Hartkopf, T., 5 Aug 2014, In: AIMS Energy. 2, 3, p. 260-275 16 p.

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

  Open Access

  File

  • Wind turbines
  • Energy utilization
  • Power generation
  • Farms
  • Availability
  135 Downloads (Pure)

• Wind turbines with energy storage for power smoothing and FRT enhancement

  Xu, G., Xu, L. & Morrow, D. J., Jul 2011, 2011 IEEE Power and Energy Society General Meeting. IEEE, 7 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  • Energy storage
  • Wind turbines
  • Resistors
  • Damping
  • Voltage measurement
  14 Citations (Scopus)

• Wind turbulence impacts to onshore and offshore wind turbines gearbox fatigue life

  Qiu, Y., Xu, Y., Li, J., Feng, Y., Yang, W. & Infield, D., 25 Sep 2014, 3rd Renewable Power Generation Conference (RPG 2014). CP651 ed. Institution of Engineering and Technology, Vol. 2014. p. 8.18

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  • Offshore wind turbines
  • Turbulence
  • Wind turbines
  • Fatigue of materials
  • Service life
  8 Citations (Scopus)