Advanced Computing
Our facilities enable you to study and research energy solutions utilising digital tools related to Advanced Computing. Access our High-Performance Computing Cluster, leverage AI and data driven approaches, Machine Learning Methods, Quantum Computing, and more, to study and analyse e.g. energy networks, -solutions or -markets.
High-performance computing cluster
We offer access to a high-performance computing (HPC) cluster, which significantly enhances your analytical capabilities. The HPC cluster enables faster and more advanced data analysis, supporting the development and testing of new digital energy solutions. The HPC cluster can be utilized for:
Big Data Analysis on Electricity Markets
Gain insights and access solutions for understanding electricity market dynamics.
Machine Learning Algorithms
Create and test novel algorithms for enhanced energy management and control.
Large Scale Energy Network Calculations
Handle complex simulations and analyses of extensive networks.
AI testing experimentation facilities (TEF)
Researchers can test and experiment latest AI-based energy solutions, products, and systems in realistic and simulated environments. These facilities support integration, validation, and demonstration, helping refine upcoming AI technologies for sustainable energy applications.
Blade center for cloud testing and deployment
Our IBM Blade Center is a high-performance server designed for efficient testing and deployment of cloud-based solutions, offering flexibility, scalability, and robust processing for modern IT needs.
Breakthrough research
- Enabling comprehensive, reliable, interoperable and interpretable energy data ecosystems
- Impact of cyber-physical system resilience on data-driven applications
- Advancing AI and data-driven applications for energy sector optimization (from forecasting to real-time operations)
- Trust in data-driven, AI-enabled and advanced computational tools
- Data markets & Economics of AI