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Which power plants must be used so that the load in a power grid is covered? How is the inaccuracy of the forecast for renewable energy sources taken into account? How should the charging and discharging cycle of energy storage systems in the power grid be coordinated with the current market price for electricity? These questions are part of the daily operational planning of a power system.
Progress in the field of Natural Language Processing is rapid and seems unstoppable. Between terms like Transformer, Transfer-Learning, BERT and T5 it is not always easy to keep up with the times.
For complex problems in business and industry, optimization models and solution algorithms are used daily to make difficult decisions. Classical optimization methods are combined with machine learning to meet the high demands.
Researchers at RISC Software GmbH developed a method for medical segmentation of CT-A scans of abdominal aortic aneurysms using Deep Learning.
Mathematical models are predominantly used in science, especially in the natural sciences. Classic fields of application here are theoretical physics or, currently very prominent, epidemiology.
By combining forecasting models with optimization models, future decision options are simulated from company data and the best alternative course of action is selected.
