Dresden 2020 – scientific programme

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SOE: Fachverband Physik sozio-ökonomischer Systeme

SOE 6: Poster

SOE 6.14: Poster

Monday, March 16, 2020, 17:00–20:00, P2/4OG

Machine Learning Applications in Energy Research — •Omar El Sayed, Alexander Kies, and Horst Stoecker — Frankfurt Institute for Advanced Studies, Frankfurt, Germany

In recent years, machine learning has received considerable attention in different fields of research. Machine learning provides efficient tools for different applications with respect to energy research. Different applications of machine learning in the field of energy research include:

- forecasting of relevant quantities for power systems such as demand, renewable generation, electricity prices - grid optimisation, monitoring and control - smart future market mechanism based on novel paradigms - accurate energy system modelling, for instance via weather data analysis and generation.

In this work, we show and discuss exemplary applications.