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Open Access research that is improving renewable energy technology...

Strathprints makes available scholarly Open Access content by researchers across the departments of Mechanical & Aerospace Engineering (MAE), Electronic & Electrical Engineering (EEE), and Naval Architecture, Ocean & Marine Engineering (NAOME), all of which are leading research into aspects of wind energy, the control of wind turbines and wind farms.

Researchers at EEE are examining the dynamic analysis of turbines, their modelling and simulation, control system design and their optimisation, along with resource assessment and condition monitoring issues. The Energy Systems Research Unit (ESRU) within MAE is producing research to achieve significant levels of energy efficiency using new and renewable energy systems. Meanwhile, researchers at NAOME are supporting the development of offshore wind, wave and tidal-current energy to assist in the provision of diverse energy sources and economic growth in the renewable energy sector.

Explore Open Access research by EEE, MAE and NAOME on renewable energy technologies. Or explore all of Strathclyde's Open Access research...

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Number of items: 13.

2015

Fan, Fulin and Bell, Keith and Hill, David and Infield, David (2015) Wind forecasting using kriging and vector auto-regressive models for dynamic line rating studies. In: 2015 IEEE Eindhoven PowerTech Proceedings. IEEE, Piscataway, NJ., pp. 1-6.

2014

Dowell, Jethro and Weiss, Stephan and Hill, David and Infield, David (2014) Short-term spatio-temporal prediction of wind speed and direction. Wind Energy, 17 (12). pp. 1945-1955. ISSN 1095-4244

Malvaldi, A. and Dowell, J. and Weiss, S. and Infield, D. and Hill, D. (2014) Wind prediction enhancement by supplementing measurements with numerical weather prediction now-casts. In: 10th EAWE PhD Seminar on Wind Energy in Europe, 2014-10-28 - 2014-10-31, l'Ecole Polytechnique de l'Université d'Orléans.

Hill, David and Bell, Keith and McMillan, David and Infield, David (2014) A vector auto-regressive model for onshore and offshore wind synthesis incorporating meteorological model information. Advances in Science and Research, 11. pp. 35-39.

2013

Dowell, Jethro and Weiss, Stephan and Hill, David and Infield, David (2013) A cyclo-stationary complex multichannel wiener filter for the prediction of wind speed and direction. In: 21st European Signal Processing Conference, 2013-09-09 - 2013-09-13.

Dowell, Jethro and Weiss, Stephan and Hill, David and Infield, David (2013) Improved spatial modelling of wind fields. In: European Wind Energy Association, 2013-02-20.

2012

Plumley, Charles Edward and Hill, David and McMillan, David and Bell, Keith and Infield, David (2012) Validating wind field models for power system impact studies. In: International Conference on Sustainable Power Generation and Supply (SUPERGEN 2012). IEEE, Piscataway, New Jersey, pp. 1-6. ISBN 9781849196734

Mcmillan, David and Hill, David (2012) Vector auto-regression applied to UK wind speed data. In: PMAPS 2012, 2012-06-10 - 2012-06-14.

Hill, David and McMillan, David and Bell, Keith and Infield, David (2012) Application of auto-regressive models to UK wind speed data for power system impact studies. IEEE Transactions on Sustainable Energy, 3 (1). pp. 134-141. ISSN 1949-3029

2011

Stephen, Bruce and Galloway, Stuart J. and McMillan, David and Hill, David C. and Infield, David G. (2011) A copula model of wind turbine performance. IEEE Transactions on Power Systems, 26 (2). pp. 965-966. ISSN 0885-8950

2010

Hill, D. and Mcmillan, D. and Bell, K. and Infield, D. and Ault, G. W. (2010) Application of statistical wind models for system impacts. In: Universities Power Engineering Conference (UPEC), 2009 Proceedings of the 44th International. IEEE. ISBN 978-1-4244-6823-2

1998

Infield, David, Hill, D.C. (1998) Optimal smoothing for trend removal in short term electricity demand forecasting. IEEE Transactions on Power Systems, 13 (3). pp. 1115-1120. ISSN 0885-8950

1995

Hill, David, Infield, D. G. (1995) Modelled operation of the Shetland Islands power system comparing computational and human operators' load forecasts. IEE Proceedings Generation Transmission and Distribution, 142 (6). pp. 555-559. ISSN 1350-2360

This list was generated on Wed Sep 19 17:56:09 2018 BST.