Renewable Energy Forecasting: State of the Art and Latest Research Trends

Explore the state-of-the-art in renewable energy forecasting and its latest research trends in this 46-minute lecture by Georges Kariniotakis from Mines Paris - PSL, Centre PERSEE. Delve into the challenges posed by integrating massive amounts of weather-dependent renewable generation into electricity grids and the critical role of short-term forecasts in grid operation. Trace the evolution of renewable energy forecasting research from the 1980s to present day, examining the impact of AI-based approaches since the early 1990s. Discover disruptive forecasting methods developed in the H2020 EU project Smart4RES, including AI-based approaches that enhance energy forecasting with properties like resilience, simplicity, interpretability, and value maximization. Learn about advances in joint forecasting and optimization (prescriptive analytics) and collaborative forecasting supported by privacy-preserving data sharing, aimed at simplifying model chains and improving overall forecasting capabilities for renewable energy sources.