As part of the ACTI-K² Summer School 2026, supported by the German Academic Exchange Service (DAAD) and jointly organised by Kherson State Agrarian and Economic University (KSAEU) and Kiel University (CAU), participants attended a lecture delivered by Dr. Markus Heinrich, Senior Quantitative Analyst at Stadtwerke Kiel AG, dedicated to the prediction of electricity generation from wind power.
Data Science in the Energy Sector
During the lecture, participants were introduced to Stadtwerke Kiel and gained insights into the role of statistical data science in the work of a modern utility company. Dr. Heinrich demonstrated how data analysis and forecasting methods support decision-making in the energy sector and contribute to the efficient management of renewable energy resources.
Predicting Electricity Generation from Wind Power
A central focus of the lecture was the prediction of electricity generation from wind power. Through a combination of theoretical and practical elements, participants learned how data-driven approaches are used to forecast energy production and support the reliable integration of renewable energy into modern power systems.
We sincerely thank Dr. Markus Heinrich for his engaging lecture and for sharing valuable insights into the intersection of data science and renewable energy. His presentation provided participants with a practical perspective on how analytical methods are applied to address real-world challenges in the energy sector.
