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There are 18599 results for: content related to: Copula-based model for wind turbine power curve outlier rejection

  1. Determining wind turbine power curves based on operating conditions

    Wind Energy

    Volume 17, Issue 10, October 2014, Pages: 1563–1575, L.T. Paiva, C. Veiga Rodrigues and J.M.L.M. Palma

    Version of Record online : 11 AUG 2013, DOI: 10.1002/we.1651

  2. Wind turbine power curves incorporating turbulence intensity

    Wind Energy

    Volume 17, Issue 2, February 2014, Pages: 173–195, Emil Hedevang

    Version of Record online : 22 NOV 2012, DOI: 10.1002/we.1566

  3. Langevin power curve analysis for numerical wind energy converter models with new insights on high frequency power performance

    Wind Energy

    Volume 18, Issue 11, November 2015, Pages: 1953–1971, Tanja A. Mücke, Matthias Wächter, Patrick Milan and Joachim Peinke

    Version of Record online : 25 AUG 2014, DOI: 10.1002/we.1799

  4. Uncertainty of power curve measurement with a two-beam nacelle-mounted lidar

    Wind Energy

    Volume 19, Issue 7, July 2016, Pages: 1269–1287, Rozenn Wagner, Michael Stephen Courtney, Troels F. Pedersen and Samuel Davoust

    Version of Record online : 30 SEP 2015, DOI: 10.1002/we.1897

  5. Power curve measurement with a nacelle mounted lidar

    Wind Energy

    Volume 17, Issue 9, September 2014, Pages: 1441–1453, R. Wagner, T.F. Pedersen, M. Courtney, I. Antoniou, S. Davoust and R.L. Rivera

    Version of Record online : 17 JUN 2013, DOI: 10.1002/we.1643

  6. An assessment of the impact of reduced averaging time on small wind turbine power curves, energy capture predictions and turbulence intensity measurements

    Wind Energy

    Volume 17, Issue 2, February 2014, Pages: 337–342, Douglas Elliott and David Infield

    Version of Record online : 11 DEC 2012, DOI: 10.1002/we.1579

  7. A stochastic power curve for wind turbines with reduced variability using conditional copula

    Wind Energy

    Volume 19, Issue 8, August 2016, Pages: 1519–1534, Guanghan Bai, Brian Fleck and Ming J. Zuo

    Version of Record online : 5 OCT 2015, DOI: 10.1002/we.1934

  8. Adaptive robust polynomial regression for power curve modeling with application to wind power forecasting

    Wind Energy

    Volume 19, Issue 12, December 2016, Pages: 2321–2336, Man Xu, Pierre Pinson, Zongxiang Lu, Ying Qiao and Yong Min

    Version of Record online : 27 APR 2016, DOI: 10.1002/we.1985

  9. Sensitivity of southern California wind energy to turbine characteristics

    Wind Energy

    Volume 17, Issue 1, January 2014, Pages: 141–159, Scott B. Capps, Alex Hall and Mimi Hughes

    Version of Record online : 21 NOV 2012, DOI: 10.1002/we.1570

  10. Effect of winds in a mountain pass on turbine performance

    Wind Energy

    Volume 17, Issue 10, October 2014, Pages: 1543–1562, A. Clifton, M. H. Daniels and M. Lehning

    Version of Record online : 16 AUG 2013, DOI: 10.1002/we.1650

  11. Using nacelle-based wind speed observations to improve power curve modeling for wind power forecasting

    Wind Energy

    Volume 15, Issue 2, March 2012, Pages: 245–258, Nicholas J. Cutler, Hugh R. Outhred and Iain F. MacGill

    Version of Record online : 27 MAY 2011, DOI: 10.1002/we.465

  12. Modeling of the dynamics of wind to power conversion including high wind speed behavior

    Wind Energy

    Volume 19, Issue 5, May 2016, Pages: 923–938, Marisciel Litong-Palima, Martin Huus Bjerge, Nicolaos A. Cutululis, Lars Henrik Hansen and Poul Sørensen

    Version of Record online : 14 JUL 2015, DOI: 10.1002/we.1876

  13. A kernel plus method for quantifying wind turbine performance upgrades

    Wind Energy

    Volume 18, Issue 7, July 2015, Pages: 1207–1219, Giwhyun Lee, Yu Ding, Le Xie and Marc G. Genton

    Version of Record online : 21 APR 2014, DOI: 10.1002/we.1755

  14. On the robustness of the fixed points for a dynamical performance characteristic—or: a closer look at the Langevin power curve

    Wind Energy

    Volume 18, Issue 4, April 2015, Pages: 663–676, Julia Gottschall and Michael Courtney

    Version of Record online : 7 FEB 2014, DOI: 10.1002/we.1718

  15. You have full text access to this OnlineOpen article
    Probabilistic wind power forecasts with an inverse power curve transformation and censored regression

    Wind Energy

    Volume 17, Issue 11, November 2014, Pages: 1753–1766, Jakob W. Messner, Achim Zeileis, Jochen Broecker and Georg J. Mayr

    Version of Record online : 24 SEP 2013, DOI: 10.1002/we.1666

  16. You have free access to this content
    Leveraging stochastic differential equations for probabilistic forecasting of wind power using a dynamic power curve

    Wind Energy

    Volume 20, Issue 1, January 2017, Pages: 33–44, Emil B. Iversen, Juan M. Morales, Jan K. Møller, Pierre-Julien Trombe and Henrik Madsen

    Version of Record online : 2 MAY 2016, DOI: 10.1002/we.1988

  17. Accounting for the speed shear in wind turbine power performance measurement

    Wind Energy

    Volume 14, Issue 8, November 2011, Pages: 993–1004, R. Wagner, M. Courtney, J. Gottschall and P. Lindelöw-Marsden

    Version of Record online : 3 OCT 2011, DOI: 10.1002/we.509

  18. On wind turbine power performance measurements at inclined airflow

    Wind Energy

    Volume 7, Issue 3, July/September 2004, Pages: 163–176, T. F. Pedersen

    Version of Record online : 17 JUN 2004, DOI: 10.1002/we.112

  19. US East Coast offshore wind energy resources and their relationship to peak-time electricity demand

    Wind Energy

    Volume 16, Issue 7, October 2013, Pages: 977–997, Michael J. Dvorak, Bethany A. Corcoran, John E. Ten Hoeve, Nicolas G. McIntyre and Mark Z. Jacobson

    Version of Record online : 25 JUL 2012, DOI: 10.1002/we.1524

  20. You have full text access to this OnlineOpen article
    A spinner-integrated wind lidar for enhanced wind turbine control

    Wind Energy

    Volume 16, Issue 4, May 2013, Pages: 625–643, T. Mikkelsen, N. Angelou, K. Hansen, M. Sjöholm, M. Harris, C. Slinger, P. Hadley, R. Scullion, G. Ellis and G. Vives

    Version of Record online : 16 OCT 2012, DOI: 10.1002/we.1564