1. Intelligent Database Systems Lab 國立雲林科技大學 National Yunlin University of Science and Technology 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. Intelligent Database Systems Lab N.Y.U.S.T. I. M. 2 Outlines Motivation Objectives Methodology Experiments Conclusions Comments

3. Intelligent Database Systems Lab N.Y.U.S.T. I. M. 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 3

4. Intelligent Database Systems Lab N.Y.U.S.T. I. M. Objectives  A simplified approach for forecasting 24-h ahead of solar irradiance using a MLP is proposed 4

5. Intelligent Database Systems Lab N.Y.U.S.T. I. M. Methodology 5

6. Intelligent Database Systems Lab N.Y.U.S.T. I. M. Methodology 6

7. Intelligent Database Systems Lab N.Y.U.S.T. I. M. Experiments 7

8. Intelligent Database Systems Lab N.Y.U.S.T. I. M. Experiments 8

9. Intelligent Database Systems Lab N.Y.U.S.T. I. M. Experiments 9

10. Intelligent Database Systems Lab N.Y.U.S.T. I. M. Experiments 10

11. Intelligent Database Systems Lab N.Y.U.S.T. I. M. Experiments 11

12. Intelligent Database Systems Lab N.Y.U.S.T. I. M. Experiments  November 23rd 2009–January 24th 2010 (9 h per day) 12

13. Intelligent Database Systems Lab N.Y.U.S.T. I. M. Experiments 13

14. Intelligent Database Systems Lab N.Y.U.S.T. I. M. 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. 14

15. Intelligent Database Systems Lab N.Y.U.S.T. I. M. 15 Comments  Advantages ─ This approach has many advantages with other existing methods  Applications ─ Forecast of solar irradiance