George Kariniotakis received his Eng. and M.Sc. degrees from Greece in 1990 and 1992 respectively, and his Ph.D. degree from Ecole des Mines de Paris in 1996. He is currently with the Centre PERSEE of MINES ParisTech in France as a senior scientist and head of the Renewable Energies and Smartgrids Group. He has authored more than 200 scientific publications in journals and conferences. He has been involved as participant or coordinator in more than 40 R&D projects in the fields of renewable energies and distributed generation. Among them, he was the coordinator of some major EU projects in the field of wind power forecasting such as Anemos, Anemos.plus and SafeWind projects. His scientific interests include among others timeseries forecasting, decision making under uncertainty, modelling, management and planning of power systems.

• Part I: Introduction to meteorology and measurement technologies1. Principles of meteorology and numerical weather forecasting2. Measurement methodologies for wind energy based on ground-level remote sensingPart II: Methods for Renewable Energy Forecasting 3. Wind energy forecasting models 4. Mathematical Methods for Optimized Solar Forecasting5. Solar power forecasting based on sky cameras6. Short term solar power forecasting based on satellite images7. Wave energy forecasting models8. Forecasting intrahourly variability of wind generation 9. Characterisation of forecast errors and benchmarking of renewable energy forecasts　Part III: Applications of forecasting to power system management and markets10. Renewable forecasting and electricity markets11. Forecasting for the estimation of reserves into power systems 　12. Forecasting for storage management13. Dynamic line rating forecasting14. The role of predictability in the investment phase of wind farms