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Nonlinear Models to Forecast Ozone Peaks

  • Carlo Novara
  • Marialuisa Volta
  • Giovanna Finzi
Conference paper

In this paper, the problem of forecasting tropospheric ozone concentration is approached by means of nonlinear black-box modeling techniques1. In particular Neuro-Fuzzy, Auto Regressive Ciclostationary and Nonlinear Set Membership models are identified and tested in the one day ahead forecast of daily maximum ozone concentration in Brescia, a highly populated and industrialized area in the Po Valley (Northern Italy). The model performances are assessed by means of indexes and statistical indicators suggested by the European Environment Agency.

Keywords

Ozone Concentration European Environment Agency Auto Regressive Hourly Concentration Ozone Episode 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Carlo Novara
    • 1
  • Marialuisa Volta
    • 2
  • Giovanna Finzi
    • 3
  1. 1.D.AU.INItaly
  2. 2.D.E.AUniversitá di BresciaItaly
  3. 3.Dept Di Elettronica Per L'automazioneUniversita di BresciaBresciaItaly

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