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Project presentations on the website
Every project supported by Gebert Rüf Stiftung is made accessible with a web presentation that informs about the core data of the project. With this public presentation, the foundation publishes the funding results achieved and contributes to the communication of science to society.
Kyra – the AI-powered grid intelligence platform
Editorial
The project management is responsible for the content of the information provided.
Project data
- Project no: GRS-037/26
- Amount of funding: CHF 150'000
- Approved: 22.06.2026
- Duration: 09.2026 - 08.2027
- Area of activity: InnoBooster, seit 2018
Project management
- Dr. Andrej Stankovski
- ETH Zürich
- Department of Mechanical and Process Engineering (D-MAVT)
- 8052 Zürich (Schweiz)
- andrejst@ethz.ch
Project description
Grid congestion represents a multi-billion-euro problem for Europe’s energy transition. Power trading companies trade without visibility into transmission constraints, thereby missing arbitrage opportunities during congestion events. Renewable, BESS, and data center developers face systematic uncertainty, with frequent curtailments and long connection queues. This mismatch between physical infrastructure and market behavior has created a growing demand for grid-aware intelligence. To address this problem, we are developing Kyra, the first AI-powered grid intelligence for energy markets. Our physics-informed AI model forecasts congestion from minutes to 20 years ahead, enabling companies to maximize P&L performance, help developers de-risk site selection, and improve the profitability of renewable projects.
Status/Results
Our roadmap for the next months leading to the interim report is to test our platform in our first pilot projects.
Links
Last update to this project presentation 07.09.2026