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Presenter : Cheng-Han Tsai Authors : Adel Mellit , Alessandro Massi Pavan

A 24-h forecast of solar irradiance using artificial neural network: Application for performance prediction of a grid-connected PV plant at Trieste, Italy. Presenter : Cheng-Han Tsai Authors : Adel Mellit , Alessandro Massi Pavan Solar Energy, 2010. Outlines. Motivation Objectives

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Presenter : Cheng-Han Tsai Authors : Adel Mellit , Alessandro Massi Pavan

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  1. A 24-h forecast of solar irradiance using artificial neural network: Application for performance prediction of a grid-connected PV plant at Trieste, Italy Presenter : Cheng-Han Tsai Authors : Adel Mellit , Alessandro Massi Pavan Solar Energy, 2010

  2. Outlines • Motivation • Objectives • Methodology • Experiments • Conclusions • Comments

  3. Motivation • The previous approaches cannot forecast several hours or average daily values of solar irradiance • based on some meteorological parameters • based on the past observed data • hybrid

  4. Objectives A simplified approach for forecasting 24-h ahead of solar irradiance using a MLP is proposed

  5. Methodology

  6. Methodology

  7. Experiments

  8. Experiments

  9. Experiments

  10. Experiments

  11. Experiments

  12. Experiments November 23rd 2009–January 24th 2010 (9 h per day)

  13. Experiments

  14. Conclusions This architecture is suitable for forecasting of solar irradiance at Trieste in Italy. This method can play a very important role for an efficient planning of the operation of renewable systems.

  15. Comments • Advantages • This approach has many advantages with other existing methods • Applications • Forecast of solar irradiance

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