2003-2006 (Mines ParisTech)

Ph.D. thesis

Estimation of the uncertainty in wind power forecasting (2006), Ecole des Mines de Paris, Paris, France. The Thesis has been shortlisted for the ParisTech award 2007. It can also be found at: pastel.paristech.org/bib

Journal Publications

  • H. Madsen, P. Pinson, T.S. Nielsen, H.Aa. Nielsen, G. Kariniotakis (2005). Standardizing the performance evaluation of short-term wind power prediction models. Wind Engineering 29(6), pp. 475-489 (pdf)
  • P. Pinson, G. Kariniotakis (2004). On-line assessment of prediction risk for wind power production forecasts. Wind Energy 7(2), pp. 119-132

Conference Proceedings

  • P. Pinson, J. Juban, G. Kariniotakis (2006). On the quality and value of probabilistic forecasts of wind generation. PMAPS’06, IEEE Conference, `Probabilistic Methods Applied to Power Systems’, Stockholm, Sweden, pp. 1-7 (invited – oral presentation) (pdf)
  • P. Pinson, H. Aa. Nielsen, T.S. Nielsen, H. Madsen, G. Kariniotakis (2006). Properties of interval and quantile forecasts of wind generation and their evaluation. EWEC’06, European Wind Energy Conference, Scientific Track, Athens, Greece (oral presentation) (pdf)
  • G. Kariniotakis, I.Marti, P. Pinson, et al. (2004). What performance can be expected by wind power prediction models depending on site characteristics. EWEC’04, European Wind Energy Conference, London, United Kingdom (pdf)
  • P. Pinson, C. Chevallier, G. Kariniotakis (2004). Optimizing benefits from wind power participation in electricity markets using advanced tools for wind power forecasting and uncertainty assessment. EWEC’04, European Wind Energy Conference, London, United Kingdom
  • G. Kariniotakis, P. Pinson, N. Siebert, G. Giebel, R. Barthelmie (2004). State of the art in short-term prediction of wind power – From an offshore perspective. SeaTechWeek 2004, `Ocean Energy Conference: Offshore Wind Energy, Marine Currents and Waves’, Brest, France (oral presentation)
  • G. Kariniotakis, P. Pinson (2004). Uncertainty of short-term wind power forecasts – A methodology for on-line assessment. PMAPS’04, IEEE Conference, `Probabilistic Methods Applied to Power Systems’, pp. 729-736, Ames, Iowa (USA), pp. 729-736 (invited – oral presentation)
  • P. Pinson, G. Kariniotakis, D. Mayer (2004). Uncertainty and prediction risk assessment of short-term wind power forecasts. EAWE Conference 2004, `The science of making torque from wind’, Delft, The Netherlands (oral presentation)
  • P. Pinson, T. Ranchin, G. Kariniotakis (2004). Short-term wind power prediction for offshore wind farms – Evaluation of fuzzy-neural network based models. Global WindPower Conference 2004, Chicago, Illinois (USA)
  • H. Madsen, H.Aa. Nielsen, T.S. Nielsen, G. Kariniotakis, P. Pinson (2004). A protocol for standardizing the performance evaluation of short-term wind power prediction models. Global WindPower Conference 2004, Chicago, Illinois (USA) (oral presentation)
  • P. Pinson, G. Kariniotakis (2004). On-line adaptation of confidence intervals based on weather stability for wind power forecasting. Global WindPower Conference 2004, Chicago, Illinois (USA)
  • P. Pinson, G. Kariniotakis (2003). Wind power forecasting using fuzzy-neural networks enhanced with on-line prediction risk assessment. PowerTech’03, IEEE Conference, Bologna, Italy, vol. 2 (oral presentation)
  • P. Pinson, N. Siebert, G. Kariniotakis (2003). Forecasting of regional wind generation by a dynamic fuzzy-neural networks based upscaling approach. EWEC 2003, European Wind Energy Conference, Madrid, Spain
  • P. Pinson, G. Kariniotakis (2003). On-line assessment of prediction risk for wind power production forecasts. EWEC 2003, European Wind Energy Conference, Madrid, Spain (oral presentation)
  • G. Kariniotakis, P. Pinson (2003). Evaluation of the More-Care wind power prediction platform: Performance of the fuzzy logic based models. EWEC 2003, European Wind Energy Conference, Madrid, Spain

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IEEE Transactions on Power Systems

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Wind Energy

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