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This symposium will present latest techniques and insights on machine-learning (ML) based forecasting. It covers the development of modern neural network architectures for forecasting, the quantification of uncertainty, as well as the application of ML techniques in current energy system modelling.

Join us for our workshop discussing machine-learning based forecasting for time series from complex systems and the impact of these forecasts on the system (performativity).