Search Results

There are 405006 results for: content related to: A comparison of a few statistical models for making quantile wind power forecasts

  1. Using quantile regression to extend an existing wind power forecasting system with probabilistic forecasts

    Wind Energy

    Volume 9, Issue 1-2, January - April 2006, Pages: 95–108, Henrik Aalborg Nielsen, Henrik Madsen and Torben Skov Nielsen

    Version of Record online : 19 DEC 2005, DOI: 10.1002/we.180

  2. 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

  4. 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

  5. Impact of wind power forecasting error bias on the economic operation of autonomous power systems

    Wind Energy

    Volume 12, Issue 4, May 2009, Pages: 315–331, Antonis G. Tsikalakis, Nikos D. Hatziargyriou, Yiannis A. Katsigiannis and Pavlos S. Georgilakis

    Version of Record online : 29 SEP 2008, DOI: 10.1002/we.294

  6. You have free access to this content
    ‘Good’ or ‘bad’ wind power forecasts: a relative concept

    Wind Energy

    Volume 14, Issue 5, July 2011, Pages: 625–636, R. J. Bessa, V. Miranda, A. Botterud and J. Wang

    Version of Record online : 13 DEC 2010, DOI: 10.1002/we.444

  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. Very-short-term probabilistic forecasting of wind power with generalized logit–normal distributions

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

    Volume 61, Issue 4, August 2012, Pages: 555–576, P. Pinson

    Version of Record online : 29 FEB 2012, DOI: 10.1111/j.1467-9876.2011.01026.x

  9. You have free access to this content
    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

  10. Predicting and presenting plausible future scenarios of wind power production from numerical weather prediction systems: a qualitative ex ante evaluation for decision making

    Wind Energy

    Volume 15, Issue 3, April 2012, Pages: 473–488, Nicholas J. Cutler, Hugh R. Outhred, Iain F. MacGill and Jeffrey D. Kepert

    Version of Record online : 1 SEP 2011, DOI: 10.1002/we.485

  11. An integrated approach for optimal coordination of wind power and hydro pumping storage

    Wind Energy

    Volume 17, Issue 6, June 2014, Pages: 829–852, Edgardo D. Castronuovo, Julio Usaola, Ricardo Bessa, Manuel Matos, I.C. Costa, L.  Bremermann, Jesus Lugaro and George Kariniotakis

    Version of Record online : 18 MAR 2013, DOI: 10.1002/we.1600

  12. 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

  13. 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

  14. You have free access to this content
    Clustering numerical weather forecasts to obtain statistical prediction intervals

    Meteorological Applications

    Volume 21, Issue 3, July 2014, Pages: 605–618, Ashkan Zarnani, Petr Musilek and Jana Heckenbergerova

    Version of Record online : 27 FEB 2013, DOI: 10.1002/met.1383

  15. 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

  16. Short-term forecasting of categorical changes in wind power with Markov chain models

    Wind Energy

    Volume 17, Issue 9, September 2014, Pages: 1425–1439, Megan Yoder, Amanda S. Hering, William C. Navidi and Kristin Larson

    Version of Record online : 14 JUN 2013, DOI: 10.1002/we.1641

  17. Trading wind energy on the basis of probabilistic forecasts both of wind generation and of market quantities

    Wind Energy

    Volume 16, Issue 6, September 2013, Pages: 909–926, M. Zugno, T. Jónsson and P. Pinson

    Version of Record online : 16 JUL 2012, DOI: 10.1002/we.1531

  18. Spatio-temporal analysis and modeling of short-term wind power forecast errors

    Wind Energy

    Volume 14, Issue 1, January 2011, Pages: 43–60, Julija Tastu, Pierre Pinson, Ewelina Kotwa, Henrik Madsen and Henrik Aa. Nielsen

    Version of Record online : 12 APR 2010, DOI: 10.1002/we.401

  19. Forecasting ramps of wind power production with numerical weather prediction ensembles

    Wind Energy

    Volume 16, Issue 1, January 2013, Pages: 51–63, Arthur Bossavy, Robin Girard and George Kariniotakis

    Version of Record online : 28 FEB 2012, DOI: 10.1002/we.526

  20. Adaptive modelling and forecasting of offshore wind power fluctuations with Markov-switching autoregressive models

    Journal of Forecasting

    Volume 31, Issue 4, July 2012, Pages: 281–313, Pierre Pinson and Henrik Madsen

    Version of Record online : 10 SEP 2010, DOI: 10.1002/for.1194