Lisa Lorenz graduated with a B.Sc. in Business and Economics from the TU Dresden, specialized in environmental management and energy economics as well as statistics and data science. Since 2020, she is doing her master’s degree in Computational Modeling and Simulation, focusing on data science and machine learning in the energy sector, including energy system modeling and simulation, especially in the field of flow-based market coupling. Since June 2019, she is a working student at the Chair of Energy Economics of the TU Dresden, primarily assisting in data preparation, analysis and exploitation.
Zone-wide prediction of generating unit-specific power outputs for electricity grid congestion forecasts
This paper explores various statistical and statistical learning methods, with the goal of adequately predicting the on/off status and power output levels of all power plants within a control zone.