Renewable Power Forecast to Scheduling of Thermal Units

  • Pedro M. Fonte
  • Bruno Santos
  • Cláudio Monteiro
  • João P. S. Catalão
  • Fernando Maciel Barbosa
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 423)


In this work is discussed the importance of the renewable production forecast in an island environment. A probabilistic forecast based on kernel density estimators is proposed. The aggregation of these forecasts, allows the determination of thermal generation amount needed to schedule and operating a power grid of an island with high penetration of renewable generation. A case study based on electric system of S. Miguel Island is presented. The results show that the forecast techniques are an imperative tool help the grid management.


Probabilistic renewable power forecast kernel density estimator Power scheduling 


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Copyright information

© IFIP International Federation for Information Processing 2014

Authors and Affiliations

  • Pedro M. Fonte
    • 1
    • 3
  • Bruno Santos
    • 2
  • Cláudio Monteiro
    • 2
    • 3
  • João P. S. Catalão
    • 4
  • Fernando Maciel Barbosa
    • 3
    • 5
  1. 1.ISEL – Lisbon Superior Engineering InstituteLisbonPortugal
  2. 2.Smartwatt,S.APortugal
  3. 3.University of PortoPortugal
  4. 4.INESC TEC PORTOPortoPortugal
  5. 5.University of Beira InteriorCovilhãPortugal

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