Renewable Energy Forecasting

Part 1 Introduction to meteorology and renewable power generation 1. Introduction 2. Principles of meteorology and numerical weather forecasting 3. Renewable resource and power generation characteristics 4. Measuring and remote sensing technologies for renewable resources Part 2 Forecasting models 5. Wind energy forecasting models 6. Solar energy forecasting models 7. Wave energy forecasting models 8. Hydro energy forecasting models 9. Characterisation of forecast errors and benchmarking of renewable energy forecasts 10. Probabilistic forecasting of renewable generation 11. Verification of renewable energy forecasts Part 3 Methods for very short-term forecasting and extremes forecasting 12. Solar power forecasting based on sky cameras 13. Short term solar power forecasting based on satellite images 14. Spatio-temporal forecasting of wind generation 15. Methods for forecasting extremes of wind power generation 16. Forecasting intrahourly variability of wind generation Part 4 Longer term forecasting and financial implications 17. Seasonal to interannual predictability of solar and wind energy resources 18. The role of predictability in the investment phase of wind farms 19. Predictability and spatial planning of renewable generation Part 5 Applications of forecasting to power system management and markets 20. Operational experiences from renewable generation forecasting 21. Renewable forecasting and electricity markets 22. Applications of forecasting for the scheduling of power systems 23. Forecasting for the estimation of reserves into power systems 24. Forecasting and smart grids 25. Forecasting for storage management 26. Dynamic line rating forecasting 27. Conclusions and perspectives