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There are 36308 results for: content related to: Using quantile regression to extend an existing wind power forecasting system with probabilistic forecasts

  1. Short-term variations in wind power: Some quantile-type models for probabilistic forecasting

    Wind Energy

    Volume 14, Issue 2, March 2011, Pages: 255–269, Geoffrey Pritchard

    Version of Record online : 19 JUL 2010, DOI: 10.1002/we.416

  2. You have free access to this content
    Application of probabilistic wind power forecasting in electricity markets

    Wind Energy

    Volume 16, Issue 3, April 2013, Pages: 321–338, Z. Zhou, A. Botterud, J. Wang, R.J. Bessa, H. Keko, J. Sumaili and V. Miranda

    Version of Record online : 14 MAR 2012, DOI: 10.1002/we.1496

  3. Non-parametric probabilistic forecasts of wind power: required properties and evaluation

    Wind Energy

    Volume 10, Issue 6, November/December 2007, Pages: 497–516, Pierre Pinson, Henrik Aa. Nielsen, Jan K. Møller, Henrik Madsen and George N. Kariniotakis

    Version of Record online : 21 MAY 2007, DOI: 10.1002/we.230

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    Reliability diagrams for non-parametric density forecasts of continuous variables: Accounting for serial correlation

    Quarterly Journal of the Royal Meteorological Society

    Volume 136, Issue 646, January 2010 Part A, Pages: 77–90, Pierre Pinson, Patrick McSharry and Henrik Madsen

    Version of Record online : 19 JAN 2010, DOI: 10.1002/qj.559

  5. Non-parametric bounds on quantiles under monotonicity assumptions: with an application to the Italian education returns

    Journal of Applied Econometrics

    Volume 26, Issue 5, August 2011, Pages: 783–824, Pamela Giustinelli

    Version of Record online : 15 FEB 2010, DOI: 10.1002/jae.1132

  6. Ensemble-based probabilistic forecasting at Horns Rev

    Wind Energy

    Volume 12, Issue 2, March 2009, Pages: 137–155, Pierre Pinson and Henrik Madsen

    Version of Record online : 20 NOV 2008, DOI: 10.1002/we.309

  7. Probabilistic wind power forecasts using local quantile regression

    Wind Energy

    Volume 7, Issue 1, January/March 2004, Pages: 47–54, John Bjørnar Bremnes

    Version of Record online : 19 MAR 2004, DOI: 10.1002/we.107

  8. A comparison of a few statistical models for making quantile wind power forecasts

    Wind Energy

    Volume 9, Issue 1-2, January - April 2006, Pages: 3–11, John Bjørnar Bremnes

    Version of Record online : 5 DEC 2005, DOI: 10.1002/we.182

  9. Parametric quantile regression based on the generalized gamma distribution

    Journal of the Royal Statistical Society: Series C (Applied Statistics)

    Volume 62, Issue 5, November 2013, Pages: 723–740, Angela Noufaily and M. C. Jones

    Version of Record online : 6 MAY 2013, DOI: 10.1111/rssc.12014

  10. From probabilistic forecasts to statistical scenarios of short-term wind power production

    Wind Energy

    Volume 12, Issue 1, January 2009, Pages: 51–62, Pierre Pinson, Henrik Madsen, Henrik Aa. Nielsen, George Papaefthymiou and Bernd Klöckl

    Version of Record online : 22 SEP 2008, DOI: 10.1002/we.284

  11. Decomposition and graphical portrayal of the quantile score

    Quarterly Journal of the Royal Meteorological Society

    Volume 140, Issue 683, July 2014 Part B, Pages: 1924–1934, Sabrina Bentzien and Petra Friederichs

    Version of Record online : 7 FEB 2014, DOI: 10.1002/qj.2284

  12. A quantile regression approach to bank efficiency measurement*

    Efficiency and Productivity Growth: Modelling in the Financial Services Industry

    Anastasia Koutsomanoli-Filippaki, Emmanuel Mamatzakis, Fotios Pasiouras, Pages: 253–266, 2013

    Published Online : 6 MAY 2013, DOI: 10.1002/9781118541531.ch12

  13. CEO Stock-Based Incentive Compensation and Firm Performance: A Quantile Regression Approach

    Journal of International Financial Management & Accounting

    Volume 26, Issue 1, February 2015, Pages: 39–71, Ming-Yuan Leon Li, Tung-Hsiao Yang and Shang-En Yu

    Version of Record online : 19 JAN 2015, DOI: 10.1111/jifm.12022

  14. Breakdown point theory for implied probability bootstrap

    The Econometrics Journal

    Volume 15, Issue 1, February 2012, Pages: 32–55, Lorenzo Camponovo and Taisuke Otsu

    Version of Record online : 16 FEB 2012, DOI: 10.1111/j.1368-423X.2011.00365.x

  15. Asymmetric Quantile Persistence and Predictability: the Case of US Inflation

    Oxford Bulletin of Economics and Statistics

    Volume 77, Issue 2, April 2015, Pages: 297–318, Sebastiano Manzan and Dawit Zerom

    Version of Record online : 29 APR 2014, DOI: 10.1111/obes.12065

  16. A spatiotemporal quantile regression model for emergency department expenditures

    Statistics in Medicine

    Volume 34, Issue 17, 30 July 2015, Pages: 2559–2575, Brian Neelon, Fan Li, Lane F. Burgette and Sara E. Benjamin Neelon

    Version of Record online : 17 MAR 2015, DOI: 10.1002/sim.6480



    Volume 79, Issue 2, March 1998, Pages: 448–460, Frederick S. Scharf, Francis Juanes and Michael Sutherland

    Version of Record online : 1 MAR 1998, DOI: 10.1890/0012-9658(1998)079[0448:IERFTE]2.0.CO;2

  18. Quantile Autoregressive Distributed Lag Model with an Application to House Price Returns

    Oxford Bulletin of Economics and Statistics

    Volume 75, Issue 2, April 2013, Pages: 307–321, Antonio F. Galvao JR., Gabriel Montes-Rojas and Sung Y. Park

    Version of Record online : 21 DEC 2011, DOI: 10.1111/j.1468-0084.2011.00683.x

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    Modeling tropical cyclone intensity with quantile regression

    International Journal of Climatology

    Volume 29, Issue 10, August 2009, Pages: 1351–1361, Thomas H. Jagger and James B. Elsner

    Version of Record online : 8 DEC 2008, DOI: 10.1002/joc.1804

  20. Quantile Uncertainty and Value-at-Risk Model Risk

    Risk Analysis

    Volume 32, Issue 8, August 2012, Pages: 1293–1308, Carol Alexander and José María Sarabia

    Version of Record online : 17 MAY 2012, DOI: 10.1111/j.1539-6924.2012.01824.x