2014

Journal Publications

  • P.-J. Trombe, P. Pinson, T. Bøvith, N.A. Cutululis, C. Draxl, G. Giebel, A. Hahmann, N.E. Jensen, B.P. Jensen, N.F. Le, H. Madsen, L.B. Pedersen, A. Sommer, C.L. Vincent (2013). Weather radars – The new eyes for offshore wind farms. Wind Energy, 17(11), pp. 1767-1787 (pdf)
  • T. Jónsson, P. Pinson, H.Aa. Nielsen, H. Madsen (2014). Predictive densities for day-ahead electricity prices using time-adaptive quantile regression. Energies, 7(9), pp. 5523-5547 (pdf)
  • N. O’Connell, P. Pinson, H. Madsen, M. O’Malley (2014). Benefits and challenges of electric demand response: A critical review. Renewable & Sustainable Energy Reviews, 39, pp. 686-699 (pdf)
  • C. Zhang, Y. Ding, N.C. Nordentoft, P. Pinson, J. Østergaard (2014). FLECH – A Danish market solution for DSO congestion management through DER flexibility services. Journal of Modern Power Systems and Clean Energy, 2(2), pp. 126-133 (pdf)
  • P. Pinson, J. Tastu (2014). Discussion of “Prediction intervals for short-term wind farm generation forecasts” and “Combined nonparametric prediction intervals for wind power generation”. IEEE Transactions on Sustainable Energy, 5(3), pp. 1019-1020 (pdf)
  • T. Jónsson, P. Pinson, H.Aa. Nielsen, H. Madsen (2014). Exponential smoothing approaches for prediction in real-time electricity markets. Energies, 7(6), pp. 3710-3732 (pdf)
  • T.I. Petroliagis, P. Pinson (2014). Early warnings of extreme winds utilising the ECMWF Extreme Forecast Index. Meteorological Applications, 21(2), pp. 171-185 (pdf)
  • C. Wan, Z. Xu, P. Pinson, Z.Y. Dong, K.P. Wong (2014). Optimal prediction intervals of wind power generation. IEEE Transactions on Power Systems, 29(3), pp. 1166-1174
  • C. Wan, Z. Xu, P. Pinson, Z.Y. Dong, K.P. Wong (2014). Probabilistic forecasting of wind power generation using extreme learning machine. IEEE Transactions on Power Systems, 29(3), pp. 1033-1044 (invited)
  • T. Hong, P. Pinson, S. Fan (2014). Global Energy Forecasting Competition 2012. International Journal of Forecasting, 30(2), pp. 357-363
  • P. Pinson (2014). Comments on: Space-time wind speed forecasting for improved power system dispatch. TEST, 23(1), pp. 23-29 (pdf)
  • J.-M. Morales, M. Zugno, S. Pineda, P. Pinson (2014). Electricity market clearing with improved dispatch of stochastic production. European Journal of Operational Research, 235(3), pp. 765-774 (pdf)
  • J.M. Morales, M. Zugno, S. Pineda, P. Pinson (2013). Redefining the merit order of stochastic generation in forward markets. IEEE Transactions on Power Systems (IEEE Power Engineering Letters), 29(2), pp. 992-993 (pdf)
  • T. Hong and co-authors (2014). Guest Editorial: Special section on analytics for energy forecasting with applications to smart grid. IEEE Transactions on Smart Grid, 5(1), pp. 399-401
  • J. Tastu, P. Pinson, P.-J. Trombe, H. Madsen (2014). Probabilistic forecasts of wind power generation accounting for geographically dispersed information. IEEE Transactions on Smart Grid, 5(1), pp. 480-489 (pdf)
  • P.-J. Trombe, P. Pinson, H. Madsen (2014). Automatic classification of offshore wind regimes with weather radar observations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(1), pp. 116-125 (pdf)

Conference proceedings

  • T. Soares, H. Morais, P. Pinson (2014). Analysis of the impact of wind power participating in both energy and ancillary services markets – The Danish case. 13th International Workshop on Large-Scale Integration of Wind Power and Transmission Networks, Berlin, Germany
  • A. Papakonstantinou, P. Pinson (2014). Towards electricity markets accommodating uncertain offers. 13th International Workshop on Large-Scale Integration of Wind Power and Transmission Networks, Berlin, Germany
  • S. Delikaraoglou, P. Pinson (2014). High-quality wind power scenario forecasts for decision-making under uncertainty in power systems. 13th International Workshop on Large-Scale Integration of Wind Power and Transmission Networks, Berlin, Germany