- Unit:
- SINTEF Digital
- Department:
- Sustainable Communication Technologies
- Office:
- Oslo
Volker is a Research Scientist in the Smart Data group. He has experience applying data-driven methods (Data Science, Machine Learning) methods across many domains, but with focus on weather prediction, optical satellites, and power grids. Currently, he is wondering how data-driven methods can help decision-making in climate-related challenges.
Education
PhD Computational Astrophysics (University of Zurich, 2016)
MSc Engineering Physics (Chalmers University of Technology, 2011)
BSc Aerospace Engineering (Deflt University of Technology, 2008)
Competence and research areas
Data Science, Machine Learning, Power Grids
Publications
- Lessons for Data-Driven Modelling from Harmonics in the Norwegian Grid
- Let the Asset Decide: Digital Twins with Knowledge Graphs
- The value of multiple data sources in machine learning models for power system event prediction
- Prediksjon av værrelaterte feil i distribusjonsnettet
- AIOPS – Hvordan velge ut KI prosjekter og gå fra prototyp til drift
- MLOps – Taking AI from Concept to Impact
- Impact of seasonal weather on forecasting of power quality disturbances in distribution grids
- Applications of Big Data and Data Science in the Electricity Distribution Grid - State-of-the-art
- Impact of the Temporal Distribution of Faults on Prediction of Voltage Anomalies in the Power Grid
- Predicting the Grid -- Severe Weather, Outages, and Power Quality Forecast