Renewable Energy Forecasting

Pierre Pinson is currently a Professor in the Modelling of Electricity Markets at the Centre for Electric Power and Energy (CEE) Technical University of Denmark.  He teaches courses on the integration of renewable energy in power systems and electricity markets, with a strong forecasting component. He has been a visiting researcher at the University of Oxford (Mathematical Institute) and at the University of Washington (Dept. of Statistics), also spending one year at the European Centre for Medium-range Weather Forecasts (ECMWF), as a consultant mainly focusing on ensemble forecasting of surface winds. Prof. Pinson is a senior member of the IEEE Power & Energy Society as well as acting editor for the scientific journals ‘Wind Energy’ and ‘IEEE Transactions on Power Systems’. He has published extensively in some of the world’s leading journals and is a regular invited speaker at numerous international conferences. Henrik Madsen is a Professor in Stochastic Dynamic Systems at the Department of Applied Mathematics and Computer Sciences at the Technical University of Denmark. He has been teaching courses on time series analysis and methods for forecasting at graduate and post-graduate level for 30 years. He has also widely contributed to developing the state of the art in forecasting renewables for the last 20 years. Prof. Madsen has authored two statistics books. Peder Bacher currently works in a PostDoc position at the Dynamical Systems group at DTU Compute. He is interested in the statistical modelling of energy systems for forecasting, control and performance assessment, and its applications to find good solutions for the integration of wind and solar renewables. His work has until now been in applying the statistical modelling techniques to climate dependent energy systems on the production side (wind, PV and solar thermal) as well as on the load and storage side (energy efficiency, flexibility in buildings, heat pumps, district heating, and tanks for thermal storage).