Journal Publications

  • P. Pinson (2013). Wind energy: Forecasting challenges for its operational management. Statistical Science, 28(4), pp. 564-585 (pdf) (invited) – Also available at the website of Statistical Science
  • G. Dorini, P. Pinson, H. Madsen (2013). Chance-constrained optimization of demand response to price signals. IEEE Transactions on Smart Grid 4(4), pp. 2072-2080 (pdf)
  • M. Zugno, P. Pinson, H. Madsen (2013). The impact of wind power on European cross-border power flows. IEEE Transactions on Power Systems 28(4), pp. 3566-3575 (pdf)
  • C. Wan, Z. Xu, P. Pinson (2013). Direct interval forecasting of wind power generation. IEEE Transactions on Power Systems (IEEE Power Engineering Letters) 28(4), pp. 4877-4878
  • M. Zugno, P. Pinson, T. Jonsson (2013). Trading wind energy based on probabilistic forecasts of both wind generation and market quantities. Wind Energy 16(6), pp. 909-926 (pdf)
  • M. Zugno, J.M. Morales, P. Pinson, H. Madsen (2013). Pool strategy of a price-maker wind power producer. IEEE Transactions on Power Systems 28 (3), pp. 3440-3450 (pdf)
  • S. Alessandrini, S. Sperati, P. Pinson (2013). A comparison between the ECMWF and COSMO Ensemble Prediction Systems applied to short-term wind power forecasting. Applied Energy 107, pp. 271-280
  • M. Zugno, J.M. Morales, P. Pinson, H. Madsen (2013). A bilevel model for energy retailers participation in a demand response market environment. Energy Economics 36, pp. 182-197
  • O. Corradi, H. Ochsenfeld, H. Madsen, P. Pinson (2013). Controlling the electricity consumption by forecasting its response to varying prices. IEEE Transactions on Power Systems 28(1), pp. 421-429 (pdf)
  • T. Jonsson, P. Pinson, H. Madsen, H.Aa. Nielsen, T.S. Nielsen (2013). Forecasting electricity spot prices accounting for wind power predictions. IEEE Transactions on Sustainable Energy 4(1), pp. 210-218 (pdf)