Pierre Pinson

  1. 2013
  2. Published

    A comparison between the ECMWF and COSMO Ensemble Prediction Systems applied to short-term wind power forecasting on real data. / Alessandrini, S.; Sperati, S.; Pinson, Pierre.

    In: Applied Energy, Vol. 107, 2013, p. 271-280.

    Publication: Research - peer-reviewJournal article – Annual report year: 2013

  3. 2012
  4. Published

    Evaluating the quality of scenarios of short-term wind power generation. / Pinson, Pierre; Girard, R.

    In: Applied Energy, Vol. 96, 2012, p. 12-20.

    Publication: Research - peer-reviewJournal article – Annual report year: 2011

  5. Published

    Probabilistic Forecasting of the Wave Energy Flux. / Pinson, Pierre; Reikard, G.; Bidlot, J.-R.

    In: Applied Energy, Vol. 93, 2012, p. 364-370.

    Publication: Research - peer-reviewJournal article – Annual report year: 2012

  6. 2011
  7. Published

    Influence of local wind speed and direction on wind power dynamics – Application to offshore very short-term forecasting. / Gallego, Cristobal; Pinson, Pierre; Madsen, Henrik; Costa, A.; Cuerva, A.

    In: Applied Energy, Vol. 88, No. 11, 2011, p. 4087-4096.

    Publication: Research - peer-reviewJournal article – Annual report year: 2011

  8. 2009
  9. Published

    Skill forecasting from ensemble predictions of wind power. / Pinson, Pierre; Nielsen, Henrik Aalborg; Madsen, Henrik; Kariniotakis, G.

    In: Applied Energy, Vol. 86, No. 7-8, 2009, p. 1326-1334.

    Publication: Research - peer-reviewJournal article – Annual report year: 2009

Download list:
Download as PDF
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
PDF
Download as HTML
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
HTML
Download as Word
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
Word